Digital Signal Processing

Digital signal processing (DSP) is the numerical manipulation of signals, usually with the intention to measure, filter, produce or compress continuous analog signals. It is characterized by the use of digital signals to represent these signals as discrete time, discrete frequency, or other discrete domain signals in the form of a sequence of numbers or symbols to permit the digital processing of these signals. Theoretical analyses and derivations are typically performed on discrete-time signal models, created by the abstract process of sampling. Numerical methods require a digital signal, such as those produced by an analog-to-digital converter (ADC). The processed result might be a frequency spectrum or a set of statistics. But often it is another digital signal that is converted back to analog form by a digital-to-analog converter (DAC). Even if that whole sequence is more complex than analog processing and has a discrete value range, the application of computational power to signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression. Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for communications, control of systems, biomedical signal processing, seismic data processing, among others. DSP algorithms have long been run on standard computers, as well as on specialized processors called digital signal processors, and on purpose-built hardware such as application-specific integrated circuit (ASICs). Currently, there are additional technologies used for digital signal processing including more powerful general purpose microprocessors, field-programmable gate arrays (FPGAs), digital signal controllers (mostly for industrial applications such as motor control), and stream processors, among others. Digital signal processing can involve linear or nonlinear operations. Nonlinear signal processing is closely related to nonlinear system identification and can be implemented in the time, frequency, and spatio-temporal domains. Applications: The main applications of DSP are audio signal processing, audio compression, digital image processing, video compression, speech processing, speech recognition, digital communications, radar, sonar, financial signal processing, seismology and biomedicine. Specific examples are speech compression and transmission in digital mobile phones, room correction of sound in hi-fi and sound reinforcement applications, weather forecasting, economic forecasting, seismic data processing, analysis and control of industrial processes, medical imaging such as CAT scans and MRI, MP3 compression, computer graphics, image manipulation, hi-fi loudspeaker crossovers and equalization, and audio effects for use with electric guitar amplifiers

Titles

Digital signal Processing:

1. Human activity classification with radar signal processing and machine learning
2. Efficient Reconstruction and Compression of Large Size ECG Signal by Tchebichef Moments
3. Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour
4. Diagnosis of Obstructive Sleep Apnea Using Speech Signals From Awake Subjects
5. Processing of EEG Signal for Classification of Epilepsy
6. Space-Division Multiplexing fibers for radiofrequency signal processing
7. Stages-Based ECG Signal Analysis From Traditional Signal Processing to Machine Learning Approaches: A Survey
8. Accuracy Loss in Multi-Rate Processing of Biomedical Signals
9. Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG
10. The Application of Improved Variable Step-Size LMS Algorithm in Sonar Signal Processing
11. Synchronous Methods of BPSK Signal Generation
12. Signal Design and Processing for Underwater Acoustic Positioning and Communication Integrated System
13. Duffing Oscillator Weak Signal Detection Method Based on EMD Signal Processing
14. Secondary Radar Signal Processing Based on Deep Residual Separable Neural Network
15. Mapping Signal Processing Algorithms Into The Systolic Arrays
16. Quadratic FM Signal Detection and Parameter Estimation Using Coherently Integrated Trilinear Autocorrelation Function
17. Graph Signal Processing of EEG signals for Detection of Epilepsy
18. Reducing the Error of Digital Algorithms for Deductive Signal Processing Based on Their Multi-Stage Discrete Fourier Transform by the Difference Digital Filters
19. Multichannel Signal Processing for Road Surface Identification
20. Electrocardiogram Signals Digital Processing in a Distributed Computing System
21. Multi-Class Random Matrix Filtering for Adaptive Learning
22. Methods and Algorithms for Processing Biomedical Signals in Assessing the Physiological Reserves of an Athlete
23. Mathematical Methods of Fetal Activity Signal Processing
24. Classification of EEG signal using LSTMs under Audiovisual Stimuli
25. Advances in Microwave Photonic Signal Processing and Sensing

Android Application

Android is a mobile operating system (OS) currently developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets. Android user interface is based on direct manipulation, using touch gestures that loosely correspond to real-world actions, such as swiping, tapping and pinching, to manipulate on-screen objects, along with a virtual keyboard for text input. In addition to touch screen devices, Google has further developed Android TV for televisions, Android Auto for cars, and Android Wear for wrist watches, each with a specialized user interface.

Variants of Android are also used on notebooks, game consoles, digital cameras, and other electronics. As of 2015, Android has the largest installed base of all operating systems. It is the second most commonly used mobile operating system in the United States, while iOS is the first.

Title List :-
1. User preference Based Mobile search engine.
2. Online Student Attendance Management System using Android
3. iRecommend User Ranking based Recommendation System
4. iShopping: Nearest Shopping Location Identifier
5. Sight Seeing App with Android
6. Time Table Generator
7. Parking Management
8. Online Examination System For Android
9. Love And Care
10. Expense Manager
11. Android Student Result Analyzing System
12. College Management System
13. Child Care
14. Location Based Alarm
15. Android Student Result Analyzing System
16. Smart Note - Android Assist for Lecturer and Student
17. Android Grocery Shopping List
18. Doctor-Patient Interaction System Based on Android
19. Android Attack Application
20. Location based Spatial Queries in Mobile Environments

Android Mini Projects
1 Chocolate shop in Web Application
2 pizza shop in Web Application
3 Library management in Desktop Application
4 Deduplication Check in Web Application
5 Secure Data Encryption/Decryption in Web Application
6 Performance detection & enhancement in clusters in Desktop Application
7 Foot ball team prediction system in Web Application
8 Cricket team prediction system in Web Application
9 Heart disease prediction using naive bayes algorithm in Web Application
10 Movie Ticket Booking System in Web Application
11 HR management in Web Application
12 AES Encryption in Web Application

Digital image processing

Digital image processing deals with manipulation of digital images through a digital computer. It is a subfield of signals and systems but focus particularly on images. DIP focuses on developing a computer system that is able to perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms, and gives an image as an output. The most common example is Adobe Photoshop. It is one of the widely used application for processing digital images.

Image Processing Applications:

Agriculture Applications:

1. Tomato Disease Detection and Classification by Deep Learning
2. Leaf Disease Detection and Classification by Decision Tree
3. Rice Leaf Diseases Classification Using CNN With Transfer Learning
4. Plant Leaf Disease Classification Using Grid Search Based SVM
5. Disease Spots Identification of Potato Leaves in Hyperspectral Based on Locally Adaptive 1D-CNN
6. Early Detection of Diseases in Coconut Tree Leaves
7. Image Processing System based Identification and Classification of Leaf Disease: A Case Study on Paddy Leaf
8. Bell Pepper Leaf Disease Classification Using CNN
9. ResNet-based approach for Detection and Classification of Plant Leaf Diseases
10. A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification
11. Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet
12. Early Blight Identification in Tomato Leaves using Deep Learning
13. Classification and Identification of Tomato Leaf Disease Using Deep Neural Network
14. Detection of Rice Leaf Diseases Using Image Processing
15. Leaf Spot Attention Network for Apple Leaf Disease Identification
16. Detection of Banana Leaf and Fruit Diseases Using Neural Networks
17. Assessment of Soybean Leaf foliar Diseases using CNN & Weka tool
18. Kiwifruit Leaf Disease Identification Using Improved Deep Convolutional Neural Networks
19. Plant Leaf Diseases Detection and Classification Using Image Processing and Deep Learning Techniques
20. Classification Of Plant Leaf Diseases Using Machine Learning And Image Preprocessing Techniques
21. Machine Learning Approach to Classification of Okra
22. Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization
23. Detection of Potato Disease Using Image Segmentation and Machine Learning 24. Plants Classification Using Machine Learning Algorithm

Medical Applications:

1. Brain Tumor Detection from MRI Images using Naive Classifier
2. Identification and Classification of Brain Tumor from MRI with Feature Extraction by Support Vector Machine
3. DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
4. Classification of magnetic resonance images for brain tumour detection
5. Fusion based Brain Tumor Classification using Multiscale Transform Methods
6. Feature Extraction and Classification of Chest X-Ray Images Using CNN to Detect Pneumonia
7. Bone Fracture Detection and Classification using Deep Learning Approach
8. Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities
9. Faster R-CNN Model With Momentum Optimizer for RBC and WBC Variants Classification
10. A Review on Acute Lymphoblastic Leukemia Classification Based on Hybrid Low Level Features
11. An Enhanced Deep Learning Architecture for Classification of Tuberculosis Types From CT Lung Images
12. Classification and Counting of Mycobacterium Tuberculosis from Sputum Microscopic Image using Fuzzy Logic
13. A Study on Tuberculosis Classification in Chest X-ray Using Deep Residual Attention Networks*
14. Rethinking Computer-Aided Tuberculosis Diagnosis
15. Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
16. Classification of Leukemia Microscopic Images using Blended Biogeography Optimization
17. A Comparative study using Machine Learning and Data Mining Approach for Leukemia
18. Convolution Neural Network Models for Acute Leukemia Diagnosis
19. Cloud based Acute Lymphoblastic Leukemia Detection Using Deep Convolutional Neural Networks
20. Application of Watershed Algorithm and Gray Level Co-Occurrence Matrix in Leukemia Cells Images
21. Attention-aware Residual Network based Manifold Learning for White Blood Cells Classification
22. Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods
23. Fast Prediction of Cortical Dementia Based on Original Brain MRI images Using Convolutional Neural Network
24. DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images
25. A Comparative Study to Detect Tumor in Brain MRI Images using Clustering Algorithms
26. Computerised Classification of MRI Images using Machine Learning Algorithms
27. Semantic Segmentation of Brain Tumor from MRI Images and SVM Classification using GLCM Features
28. Breast Cancer Prediction Using Neuro-Fuzzy Systems
29. Predicting Breast Cancer using effective Classification with Decision Tree and K Means Clustering technique
30. Breast Cancer Malignancy Prediction Using Deep Learning Neural Networks
31. A Detailed Investigation on Reduction of False Positive Rate in Breast Cancer Detection
32. Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods
33. Improving the patient cancer experience: Multispectral (White Light/Autofluorescence/Raman) Needle Endoscopy for cancer diagnostics in breast and thyroid
34. Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images
35. Medical CT Images Classification Model Based on BBO-HS Algorithm Optimized SVM
36. Automatic classification of medical X-ray images with convolutional neural networks
37. Brain Tumor Detection and Classification Using Convolutional Neural Network and Deep Neural Network
38. Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder
39. Detection of cancerous tissue in histopathological images using Dual-Channel Residual Convolutional Neural Networks (DCRCNN)
40. Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning
41. Atomatic Detection and Diagnosis of Severe Viral Pneumonia CT Images Based on LDA-SVM
42. Deep Learning Applied for Histological Diagnosis of Breast Cancer
43. A Proposal for an Explainable Fuzzy-based Deep Learning System for Skin Cancer Prediction
44. Image Classification of Abnormal Red Blood Cells Using Decision Tree Algorithm
45. Brain MR Image Classification for ADHD Diagnosis Using Deep Neural Networks
46. Machine Learning Algorithm for Stroke Disease Classification
47. Cardiac Diagnosis Classification Using Deep Learning Pipeline on Apache Spark
48. Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning
49. Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images
50. Evaluation of LBP Variants in Retinal Blood Vessels Segmentation Using Machine Learning
51. Early detection of COVID19 by deep learning transfer Model for populations in isolated rural areas

Biometric applications:

1. Electronic Voting System using Biometrics, Raspberry Pi and TFT module
2. E-Voting System In Smart Phone Using Mobile Application
3. Secured E-voting System Using Two-factor Biometric Authentication
4. Neonatal Face Tracking for Non-Contact Continuous Patient Monitoring
5. Smart Health Monitoring System using IOT and Machine Learning Techniques
6. EYERIS: A Virtual Eye to Aid the Visually Impaired
7. Smart Wearable Device for Women Safety Using IoT
8. Android and Bluetooth Low Energy Device Based Safety System
9. Drowsiness Alert, Alcohol Detect and Collision Control for Vehicle Acceleration

Commercial Applications:

1. Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras
2. Regional Rainfall Prediction Using Support Vector Machine Classification of Large-Scale Precipitation Maps
3. Implementation of Machine Learning Technique for Identification of Yoga Poses
4. Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
5. Random Cropping Ensemble Neural Network for Image Classification in a Robotic Arm Grasping System
6. Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning
7. Hyperspectral Image Classification Using Random Forest and Deep Learning Algorithms
8. Automatic classification of ornamental stones using Machine Learning techniques A study applied to limestone
9. Using Transfer Learning to Classify Pornographic Images
10. SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs
11. Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification
12. Classication Of Land-Cover Through Machine Learning Algorithms For Fusion Of Sentinel-2a And Planetscope Imagery
13. Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification
14. Similarity Image Retrieval Model based on Local Feature Fusion and Deep Metric Learning
15. SAR Target Classification Based on Radar Image Luminance Analysis by Deep Learning
16. Classifying Tongue Images using Deep Transfer Learning
17. Machine Learning Approach for Identification of Accident Severity from Accident Images Using Hybrid Features
18. Assessment Of Pca And Mnf Influence In The Vhr Satellite Image Classifications
19. Navigation System Research and Design Based on Intelligent Image Classification Algorithm of Extreme Learning Machine
20. Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates
21.Facial Emotion Recognition Using Deep Convolutional Neural Network
22.Group Facial Emotion Analysis System Using Convolutional Neural Network Facial Emotion Detection Using Deep Learning
23.Identifying Human Emotions from Facial Expressions with Deep Learning
24.Designing of Facial Emotion Recognition System Based on Machine Learning
25.GA-SVM based Facial Emotion Recognition using Facial Geometric Features

Artificial Intelligent:

1. Design and implementation path of intelligent transportation information system based on artificial intelligence technology
2. Development Trend and Thinking of Artificial Intelligence in Education
3. Real-time Traffic Management in Emergency using Artificial Intelligence
4. Research on the Construction Mode of Intelligent Traffic Safety Integration Under the Background of Intelligent City
5. Artificial Intelligence and Internet of Things for Robotic Disaster Response
6. Construction of TCM Health Management Model for Patients with Convalescence of Coronavirus Disease Based on Artificial Intelligence
7. Learning Salient Features for Flower Classification Using Convolutional Neural Network
8. Multi-Feature Weighted Sparse Graph for SAR Image Analysis
9. Survey of Grading Process for Agricultural Foods by Using Artificial Intelligence Technique
10. Detection of bone fractures using image processing techniques and artificial neural networks
11. Prediction of Melanoma from Dermoscopic Images Using Deep Learning-Based Artificial Intelligence Techniques
12. Improved Imaging Resolution of Electrical Impedance Tomography Using Artificial Neural Networks for Image Reconstruction
13. Artificial Intelligence and Augmented Reality driven Home Automation
14. Geometric Algebra Applications in Geospatial Artificial Intelligence and Remote Sensing Image Processing
15. Computer Artificial Intelligence Recognition System Relying on Firefly Optimization Algorithm
16. An Image Classifier for Underwater Fish Detection using Classification Tree-Artificial Neural Network Hybrid
17. The Analysis of Plants Image Recognition Based on Deep Learning and Artificial Neural Network
18. Two-Step Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Network

Image Security:

1. Malware Detection Using Gist Features and Deep Neural Network Using the Rgb Image of Machine Code to Classify the Malware
2. Auto-Generating Neural Networks with Reinforcement Learning for Multi-Purpose Image Forensics
3. Making Decision on Sharing Forensic Data with the Fuzzy Logic Approach
4.Forensic Scanner Identification Using Machine Learning
5.A Granular Level Feature Extraction Approach to Construct HR Image for Forensic Biometrics Using Small Training DataSet
6. Forensic Similarity for Digital Images
7.A Curve Fitting Thresholding Approach for Forensic Source Identification of JPEG Compressed Images
8.Multi-Attack Detection using Forensics and Neural Network based Prevention for Secure MANETs
9.Deep Learning Based Person Authentication Using Hand Radiographs: A Forensic Approach
10. WNetFAF: An Integrated Wireless Network Forensic Analysis Framework
11.Distributed Network Forensics Framework: A Systematic Review

Image Cryptography:

1. Combined Cryptography and Steganography for Enhanced Security in Suboptimal Images
2. Pairing-Free CP-ABE based Cryptography Combined with Steganography for Multimedia Applications
3. Implementation of Elliptic Curve Cryptography over a Server-Clie|nt network
4. Copyright Protection for Online Text Information : Using Watermarking and Cryptography
5. Fuzzy Elliptic Curve Cryptography based Cipher Text Policy Attribute based Encryption for Cloud Security
6. Signature Image Hiding in Color Image using Steganography and Cryptography based on Digital Signature Concepts
7. A Secure DICOM Image Encryption Scheme Based on ECC, Linear Cryptography and Chaos
8. Random selective block encryption technique for image cryptography using chaotic cryptography
9. A New High Capacity Image Steganography Method Combined With Image Elliptic Curve Cryptography and Deep Neural Network
10. A Novel Medical Image Signcryption Scheme Using TLTS and Henon Chaotic Map
11. An Improved Reversible Data Hiding on Encrypted Images by Selective Pixel Flipping Technique
12. Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography
13. Digital watermarking secure scheme for remote sensing image protection
14. An image encryption algorithm based on BP neural network and hyperchaotic system

Image Steganography:

1. Automatic Recovery of Hidden Image from Image Steganography Using DNN and Local Entropy Features
2. An image steganography approach based on k-least significant bits (k-LSB)
3. Adaptive Batch Size Image Merging Steganography and Quantized Gaussian Image Steganography
4. Signature Image Hiding in Color Image using Steganography and Cryptography based on Digital Signature Concepts
5. A Novel Laplacian of Gaussian (LoG) and Chaotic Encryption Based Image Steganography Technique
6. A novel approach to Steganography using pixel-based algorithm in image hiding
7. Implementation and analysis of image steganography using Least Significant Bit and Discrete Wavelet Transform techniques
8. Analysis of Image Steganography Performance Check Using Bit Selection
9. Enhanced Image Steganography with PVD and Edge Detection
10. High-Capacity Image Steganography Based on Improved FC-DenseNet
11. Secured Communication of Text and Audio using Image Steganography
12. Coverless Image Steganography using Haar Integer Wavelet Transform
13. A Multiple-Format Steganography Algorithm for Color Images
14. A New Fuzzy-DNA Image Encryption and Steganography Technique
15. A New High Capacity Image Steganography Method Combined With Image Elliptic Curve Cryptography and Deep Neural Network

VLSI

Very-large-scale integration (VLSI) is the process of creating an integrated circuit (IC) by combining thousands of transistors into a single chip. VLSI began in the 1970s when complex semiconductor and communication technologies were being developed. The microprocessor is a VLSI device. Before the introduction of VLSI technology most ICs had a limited set of functions they could perform. An electronic circuit might consist of a CPU, ROM, RAM and other glue logic. VLSI lets IC designers add all of these into one chip. Applications of VLSI Design: • Application-specific integrated circuit • Caltech Cosmic Cube • Design rules checking • Electronic design automation • Poly silicon • Mead & Conway revolution

1 . High performance VLSI architecture for 3-D DWT (discrete Wavelet Transform)

2 .A High-Performance and Area-Efficient VLSI Architecture for the PRESENT Lightweight Cipher

3 .VLSI Architecture Exploration of Guided Image Filtering for 1080P@60Hz Video Processing

4 .Gain Error Calibrations for Two-Step ADCs: Optimizations Either in Accuracyor Chip Area

5 .Fault Detection of VLSI Power Supply Network Based on Current Estimation From Surface Magnetic Field

6. Summary form only. STT-MRAM for embedded memory applications from eNVM to last level cache

7. On the detection, characterization, and identification of single molecule with nanopores

8. Sparse VLSI Layout Feature Extraction: A Dictionary Learning Approach

9. Efficient method for AI computing

10. Summary form only. Moore's law - Predict the unpredictable

11. VLSI architecture for exciter, governor, and stabilizer in fast power system EMT simulation

12. Replica-Based Low Drop-Out Voltage Regulator with Assistant Power Transistors for Digital VLSI Systems

13. Summary form only. Voltage-control spintronics memory having potentials for high-density and high-speed applications

14. End-to-end hardware accelerator for deep convolutional neural network

15. Hold violation analysis for functional test of ultra-low temperature circuits at room temperature

Artificial intelligence

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

titles

1. Ad analysis using machine learning: Classifying and recommending advertisements for a given category of videos, using machine learning.

2. Machine learning in video surveillance for fall detection.

3. Automated change detection in satellite images using machine learning algorithms for Delhi, India.

4. Machine learning based parametric image estimation for Analyzer-based phase contrast imaging.

5. Automated super-resolution image processing in ultrasound using machine learning.

6. A deep learning based video classification system using multimodality correlation approach.

7. Incremental knowledge acquisition and self-learning for autonomous video surveillance.

8. Computer vision approaches based on deep learning and neural networks: Deep neural networks for video analysis of human pose estimation.

9. QoE Multi-Stage Machine Learning for Dynamic Video Streaming.

10. Weakly Supervised Salient Object Detection with Spatiotemporal Cascade Neural Networks.

11. Human Detection Using Illumination Invariant Feature Extraction for Natural Scenes in Big Data Video Frames.

12. Egg weight prediction and egg size classification using image processing and machine learning.

13. Concrete Cracks Detection Based on Deep Learning Image Classification.

14. Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition.

15. An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis.

16. Intensity classification background model based on the tracing scheme for deep learning based CCTV pedestrian detection.

I O T

The internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

IOT Projects:

Embedded IOT Projects:

Machine learning

Machine learning (ML) is the study of computer algorithms that improve automatically through experience.[1][2] It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.[3] Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning.[5][6] In its application across business problems, machine learning is also referred to as predictive analytics.

titles

Machine Learning Applications:

Covid-19:

1. Early detection of COVID19 by deep learning transfer Model for populations in isolated rural areas
2. On the Analysis of COVID19 - Novel Corona Viral Disease Pandemic Spread Data Using Machine Learning Techniques
3. Modified Machine Learning Techique for Curve Fitting on Regression Models for COVID-19 projections
4. A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
5. COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
6. Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning
7. Deep Learning based Diagnosis Recommendation for COVID-19 using Chest X-Rays Images
8. Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
9. Prediction and forecast for COVID-19 Outbreak in India based on Enhanced Epidemiological Models
10. Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

Commercial Applications:

Agriculture Applications:

1. Tomato Disease Detection and Classification by Deep Learning
2. Leaf Disease Detection and Classification by Decision Tree
3. Rice Leaf Diseases Classification Using CNN With Transfer Learning
4. Plant Leaf Disease Classification Using Grid Search Based SVM
5. Disease Spots Identification of Potato Leaves in Hyperspectral Based on Locally Adaptive 1D-CNN
6. Early Detection of Diseases in Coconut Tree Leaves
7. Image Processing System based Identification and Classification of Leaf Disease: A Case Study on Paddy Leaf
8. Bell Pepper Leaf Disease Classification Using CNN
9. ResNet-based approach for Detection and Classification of Plant Leaf Diseases
10. A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification
11. Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet
12. Early Blight Identification in Tomato Leaves using Deep Learning
13. Classification and Identification of Tomato Leaf Disease Using Deep Neural Network
14. Detection of Rice Leaf Diseases Using Image Processing
15. Leaf Spot Attention Network for Apple Leaf Disease Identification
16. Detection of Banana Leaf and Fruit Diseases Using Neural Networks
17. Assessment of Soybean Leaf foliar Diseases using CNN & Weka tool
18. Kiwifruit Leaf Disease Identification Using Improved Deep Convolutional Neural Networks
19. Plant Leaf Diseases Detection and Classification Using Image Processing and Deep Learning Techniques
20. Classification Of Plant Leaf Diseases Using Machine Learning And Image Preprocessing Techniques
21. Machine Learning Approach to Classification of Okra
22. Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization
23. Detection of Potato Disease Using Image Segmentation and Machine Learning
24. Plants Classification Using Machine Learning Algorithm

Medical Applications:

1. Brain Tumor Detection from MRI Images using Naive Classifier
2. Identification and Classification of Brain Tumor from MRI with Feature Extraction by Support Vector Machine
3. DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
4. Classification of magnetic resonance images for brain tumour detection
5. Fusion based Brain Tumor Classification using Multiscale Transform Methods
6. Feature Extraction and Classification of Chest X-Ray Images Using CNN to Detect Pneumonia
7. Bone Fracture Detection and Classification using Deep Learning Approach
8. Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities
9. Faster R-CNN Model With Momentum Optimizer for RBC and WBC Variants Classification
10. A Review on Acute Lymphoblastic Leukemia Classification Based on Hybrid Low Level Features
11. An Enhanced Deep Learning Architecture for Classification of Tuberculosis Types From CT Lung Images
12. Classification and Counting of Mycobacterium Tuberculosis from Sputum Microscopic Image using Fuzzy Logic
13. A Study on Tuberculosis Classification in Chest X-ray Using Deep Residual Attention Networks*
14. Rethinking Computer-Aided Tuberculosis Diagnosis
15. Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
16. Classification of Leukemia Microscopic Images using Blended Biogeography Optimization
17. A Comparative study using Machine Learning and Data Mining Approach for Leukemia
18. Convolution Neural Network Models for Acute Leukemia Diagnosis
19. Cloud based Acute Lymphoblastic Leukemia Detection Using Deep Convolutional Neural Networks
20. Application of Watershed Algorithm and Gray Level Co-Occurrence Matrix in Leukemia Cells Images
21. Attention-aware Residual Network based Manifold Learning for White Blood Cells Classification
22. Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods
23. Fast Prediction of Cortical Dementia Based on Original Brain MRI images Using Convolutional Neural Network
24. DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images
25. A Comparative Study to Detect Tumor in Brain MRI Images using Clustering Algorithms
26. Computerised Classification of MRI Images using Machine Learning Algorithms
27. Semantic Segmentation of Brain Tumor from MRI Images and SVM Classification using GLCM Features
28. Breast Cancer Prediction Using Neuro-Fuzzy Systems
29. Predicting Breast Cancer using effective Classification with Decision Tree and K Means Clustering technique
30. Breast Cancer Malignancy Prediction Using Deep Learning Neural Networks
31. A Detailed Investigation on Reduction of False Positive Rate in Breast Cancer Detection
32. Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods
33. Improving the patient cancer experience: Multispectral (White Light/Autofluorescence/Raman) Needle Endoscopy for cancer diagnostics in breast and thyroid
34. Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images
35. Medical CT Images Classification Model Based on BBO-HS Algorithm Optimized SVM
36. Automatic classification of medical X-ray images with convolutional neural networks
37. Brain Tumor Detection and Classification Using Convolutional Neural Network and Deep Neural Network
38. Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder
39. Detection of cancerous tissue in histopathological images using Dual-Channel Residual Convolutional Neural Networks (DCRCNN)
40. Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning
41. Atomatic Detection and Diagnosis of Severe Viral Pneumonia CT Images Based on LDA-SVM
42. Deep Learning Applied for Histological Diagnosis of Breast Cancer
43. A Proposal for an Explainable Fuzzy-based Deep Learning System for Skin Cancer Prediction
44. Image Classification of Abnormal Red Blood Cells Using Decision Tree Algorithm
45. Brain MR Image Classification for ADHD Diagnosis Using Deep Neural Networks
46. Machine Learning Algorithm for Stroke Disease Classification
47. Cardiac Diagnosis Classification Using Deep Learning Pipeline on Apache Spark
48. Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning
49. Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images
50. Evaluation of LBP Variants in Retinal Blood Vessels Segmentation Using Machine Learning
51. 1. Early detection of COVID19 by deep learning transfer Model for populations in isolated rural areas

Web Applications

Web development is a broad term for the work involved in developing a web site for the Internet (World Wide Web) or an intranet (a private network). Web development can range from developing the simplest static single page of plain text to the most complex web-based internet applications, electronic businesses, and social network services. A more comprehensive list of tasks to which web development commonly refers, may include web engineering, web design, web content development, client liaison, client-side/server-side scripting, web server and network security configuration, and e-commerce development. Among web professionals, "web development" usually refers to the main non-design aspects of building web sites: writing markup and coding. Most recently Web development has come to mean the creation of content management systems or CMS. These CMS can be made from scratch, proprietary or open source. In broad terms the CMS acts as middleware between the database and the user through the browser.

A principle benefit of a CMS is that it allows non-technical people to make changes to their web site without having technical knowledge. For larger organizations and businesses, web development teams can consist of hundreds of people (web developers) and follow standard methods like Agile methodologies while developing websites. Smaller organizations may only require a single permanent or contracting developer, or secondary assignment to related job positions such as a graphic designer and/or information systems technician. Web development may be a collaborative effort between departments rather than the domain of a designated department.

Types of Websites :-

1. Ecommerce

2. Job Board

3. Family Blogs

4. Private Blogs

5. Coupon Websites

6. Auction Websites

7. Business Websites

8. Business Directory

9. Portfolio Websites

10. Online Communities

11. Podcasting Websites

12. Photography Websites

13. Multilingual Websites

14. Blog Or Personal Websites

15. Question & Answer Websites

16. School or College Websites

17. Knowledgebase / Wiki Websites

18. NonProfits and Religious Websites

Embedded Projects

An embedded system is a computer system with a dedicated function within a larger mechanical or electrical system, often with real-time computing constraints. It is embedded as part of a complete device often including hardware and mechanical parts. Embedded systems control many devices in common use today. Examples of properties typical of embedded computers when compared with general-purpose ones are low power consumption, small size, rugged operating ranges, and low per-unit cost. This comes at the price of limited processing resources, which make them significantly more difficult to program and to interface with. However, by building intelligence mechanisms on the top of the hardware, taking advantage of possible existing sensors and the existence of a network of embedded units, one can both optimally manage available resources at the unit and network levels as well as provide augmented functionalities, well beyond those available. For example, intelligent techniques can be designed to manage power consumption of embedded systems. Modern embedded systems are often based on microcontrollers (i.e. CPUs with integrated memory or peripheral interfaces) but ordinary microprocessors (using external chips for memory and peripheral interface circuits) are also still common, especially in more complex systems. In either case, the processor(s) used may be types ranging from general purpose to those specialised in certain class of computations, or even custom designed for the application at hand.

A common standard class of dedicated processors is the digital signal processor (DSP). Since the embedded system is dedicated to specific tasks, design engineers can optimize it to reduce the size and cost of the product and increase the reliability and performance. Some embedded systems are mass-produced, benefiting from economies of scale. Embedded systems range from portable devices such as digital watches and MP3 players, to large stationary installations like traffic lights, factory controllers, and largely complex systems like hybrid vehicles, MRI, and avionics. Complexity varies from low, with a single microcontroller chip, to very high with multiple units, peripherals and networks mounted inside a large chassis or enclosure. ROBOTICS: Robotics is the branch of mechanical engineering, electrical engineering, electronic engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing. These technologies deal with automated machines that can take the place of humans in dangerous environments or manufacturing processes, or resemble humans in appearance, behavior, and/or cognition. Many of today's robots are inspired by nature contributing to the field of bio-inspired robotics. The concept of creating machines that can operate autonomously dates back to classical times, but research into the functionality and potential uses of robots did not grow substantially until the 20th century. Throughout history, it has been frequently assumed that robots will one day be able to mimic human behavior and manage tasks in a human-like fashion. Today, robotics is a rapidly growing field, as technological advances continue; researching, designing, and building new robots serve various practical purposes, whether domestically, commercially, or militarily. Many robots do jobs that are hazardous to people such as defusing bombs, mines and exploring shipwrecks.

Titles

1. Mask dispenser system for covid 19
2. Touch less door bell with automatic hand senitizer
3. UV-C based disinfection system robot for home or room (covid -19)
4. UV-C based disinfection system for wallet ,laptop,vegetables etc
5. Skin Safe Human Sanitization Tunnel
6. Raspberry Pi Based Vehicle Starter on Face Detection
7. Smart Medicine Box for Old Aged People
8. Smart Shopping Trolley / Intelligent Shopping Cart
9. RFID eChallan System
10. Zigbee Touchscreen Menu Ordering System
11. A Smart Helmet for Air Quality and Hazardous Event Detection for The Mining Industry
12. Smart Traffic light control in the junction using Raspberry PI
13. Implementation of greenhouse service control protocol using Python on Raspberry PI
14. Solid Wastage Management System for Smart Cities
15. Efficient power saver for street lights using LDR, RTC, LEDs light with solar power
16. Voice / touch screen /MEMS controlled Wheel chair for patients and physically challenged persons with capacity upto100Kgs
17. Elegant home with power saving, security, safety, remote controlling and auto control of water tank motor
18. A new generation smart digital home, security, safety and power saving and power quality monitoring
19. Intelligent train engine to avoid accidents and controlling railway gate automatically
20. Intelligent traffic signaling priority system for ambulances and VIP vehicles
21. RFID-based system for school children transportation safety enhancement
22. RFID and GSM based Automatic Rationing System using LPC2148
23. Smart Bin Implementation for Smart Cities
24. A Novel Approach Railway Track Damage Detection Robot Using GPRS Technology
25. Accident identification with automatic ambulance rescue system
26. Design and development of a hand glove controlled wheel chair
27. Smart Helmet for motor vehicles
28. Locker opening and closing system Using RFID, fingerprint, password And GSM
29. MEMS BASED HANDS GESTURE CONTROLLED ROBOT
30. Advanced voice based blind stick with voice announcement of obstacle distance
31. Biometric Attendance System:
32. Embedded System Based Air Pollution Detector
33. Automated Metro Train to Shuttle Between Stations
34. Automated irrigation System by detecting soil moisture content
35. Automated Railway Track Security System
36. Density Based Traffic Signal System
37. Human Computer Interface by sensing head movement
38. Image Processing based Toll automation using Automatic Number Plate Recognition(ANPR)
39. Realtime Pantry Information System Using Zigbee
40. Wireless Voting Machine
41. Dual Mount Auto Sanitizer Dispenser
42. Thermal Screening
43. Water Pollution Monitoring RC Boat
44. Fingerprint Based Exam Hall Authentication
45. Alcohol Sensing Alert with Engine Locking Project
46. Fire Fighter Robot with Night Vision Camera
47. HAND GESTURE RECOGNITION AND VOICE CONVERSION SYSTEM FOR DUMP PEOPLE
48. Vehicle And License Authentication Using Finger Print
49. Locker Security System Using Keypad and RFID

Cloud Computing

Cloud computing, also known as on-demand computing, is a kind of internet-based computing, where shared resources and information are provided to computers and other devices on-demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources.Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers.

It relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management effort.

Titles

Cloud Computing

S.No

Project Titles

Domain

Lang/Year

Securing Cloud Data under Key Exposure

CLOUD

JAVA/2019-2020

A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing

CLOUD

JAVA/2019-2020

Achieving secure, universal, and fine-grained query results

verification for secure search scheme over encrypted cloud data

CLOUD

JAVA/2019-2020

Customer-Satisfaction-Aware Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

CLOUD

JAVA/2019-2020

RAAC: Robust and Auditable Access Control With Multiple Attribute Authorities for Public Cloud Storage

CLOUD

JAVA/2019-2020

Strong Key-Exposure Resilient Auditing for Secure Cloud Storage

CLOUD

JAVA/2019-2020

Verifiable Ranked Search Over Dynamic Encrypted Data in Cloud

Computing

CLOUD

JAVA/2019-2020

VOD-ADAC Anonymous Distributed Fine-Grained Access ControlProtocol with Verifiable Outsourced Decryption in Public Cloud

CLOUD

JAVA/2019-2020

Secure Logging and Public Audit for Operation Behavior in Cloud Storage

CLOUD

JAVA/2019-2020

Privacy-preserving public auditing for non-manager group

CLOUD

JAVA/2019-2020

Two-Cloud Secure Database for Numeric-Related SQL Range Queries with Privacy Preserving

CLOUD

JAVA/2019-2020

Privacy protection based access control scheme in cloud-based services

CLOUD

JAVA/2019-2020

Cloud-Trust—a Security Assessment Model for Infrastructure as a Service (IaaS) Clouds

CLOUD

JAVA/2019-2020

A Scalable Attribute-Based Access Control Scheme with Flexible Delegation cum Sharing of Access Privileges for Cloud Storage

CLOUD

JAVA/2019-2020

Facilitating Secure and Efficient Spatial Query Processing on the Cloud

CLOUD

JAVA/2019-2020

Application-Aware Big Data Deduplication in Cloud Environment

CLOUD

JAVA/2019-2020

Fast Phrase Search for Encrypted Cloud Storage

CLOUD

JAVA/2019-2020

Achieving Privacy-friendly Storage and Secure Statistics for Smart Meter Data on Outsourced Clouds

CLOUD

JAVA/2019-2020

Publicly Verifiable Boolean Query Over Outsourced Encrypted Data

CLOUD

JAVA/2019-2020

Securing Aggregate Queries for DNA Databases

CLOUD

JAVA/2019-2020

Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

CLOUD

JAVA/2019-2020

Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset

CLOUD

JAVA/2019-2020

Towards Pricing for Sensor-Cloud

CLOUD

JAVA/2019-2020

A Distributed Secure Outsourcing Scheme for Solving Linear Algebraic Equations in Ad Hoc Clouds

CLOUD

JAVA/2019-2020

Secure Remote User Authenticated Key Establishment Protocol for Smart Home Environment

CLOUD

JAVA/2019-2020

Private Compound Wildcard Queries using Fully Homomorphic Encryption

CLOUD

JAVA/2019-2020

Known Sample Attacks on Relation Preserving Data Transformations

CLOUD

JAVA/2019-2020

Authenticated Outlier Mining for Outsourced Databases

CLOUD

JAVA/2019-2020

Privacy Leakage via De-anonymization and Aggregation in Heterogeneous Social Networks

CLOUD

JAVA/2019-2020

Group Signatures with Time-bound Keys Revisited: A New Model, an Efficient Construction, and its Implementation

CLOUD

JAVA/2019-2020

Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery

CLOUD

JAVA/2019-2020

Secure outsourcing SIFT: Efficient and Privacy-preserving Image Feature Extraction in the Encrypted Domain

CLOUD

JAVA/2019-2020

Strong stationary times and its use in cryptography

CLOUD

JAVA/2019-2020

A Security Analysis and Revised Security Extension for the Precision Time Protocol

CLOUD

JAVA/2019-2020

A Logical Key Hierarchy Based approach to preserve content privacy in Decentralized Online Social Networks Sign In or Purchase

CLOUD

JAVA/2019-2020

Lightweight Sharable and Traceable Secure Mobile Health System

CLOUD

JAVA/2019-2020

Block Design-based Key Agreement for Group Data Sharing in Cloud Computing

CLOUD

JAVA/2019-2020

Brew: A Security Policy Analysis Framework for Distributed SDN-Based Cloud Environments

CLOUD

JAVA/2019-2020

Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data

CLOUD

JAVA/2019-2020

Secure and Efficient Initialization and Authentication Protocols for SHIELD

CLOUD

JAVA/2019-2020

Linear Subspace Cryptanalysis of Harn’s Secret Sharing-Based Group Authentication Scheme

CLOUD

JAVA/2019-2020

Energy-efficient two-layer cooperative defense scheme to secure Sensor-Clouds

CLOUD

JAVA/2019-2020

Visual secret sharing schemes encrypting multiple images

CLOUD

JAVA/2019-2020

Fine-Grained Two-Factor Protection Mechanism for Data Sharing in Cloud Storage

CLOUD

JAVA/2019-2020

Auditable σ-Time Outsourced Attribute-Based Encryption for Access Control in Cloud Computing

CLOUD

JAVA/2019-2020

Privacy-Preserving Similarity Joins Over Encrypted Data

CLOUD

JAVA/2019-2020

Publicly Verifiable Computation of Polynomials Over Outsourced Data With Multiple Sources

CLOUD

JAVA/2019-2020

An Efficient Public Auditing Protocol With Novel Dynamic Structure for Cloud Data

CLOUD

JAVA/2019-2020

CABE: A New Comparable Attribute-Based Encryption Construction with 0-Encoding and 1-Encoding

CLOUD

JAVA/2019-2020

ASSER: An Efficient, Reliable, and Cost-Effective Storage Scheme for Object-Based Cloud Storage Systems

CLOUD

JAVA/2019-2020

Provably Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys for Online Data Sharing on the Cloud

CLOUD

JAVA/2019-2020

Data Mining Projects

Data mining is an interdisciplinary subfield of computer science involvingprocesses of data set discovery utilizing intersecting methodologies (artificial intelligence, machine learning, statistics, and database system(s) etc. The overall goal of the data mining process is transformative structural application(s).

Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

Data Mining

S.No

Project Titles

Domain

Lang/Year

Time Series Management Systems: A Survey

DATAMINING/

ANALYTICS

JAVA/2019-2020

Temporal Conformance Analysis and Explanation of Clinical Guidelines Execution: An Answer Set Programming Approach

DATAMINING/

ANALYTICS

JAVA/2019-2020

Prediction of Rising Stars in the Game of Cricket

DATAMINING/

ANALYTICS

JAVA/2019-2020

User Satisfaction Prediction with Mouse Movement Information in Heterogeneous Search Environment

DATAMINING/

ANALYTICS

JAVA/2019-2020

An Empirical Evaluation of Techniques for Ranking Semantic Associations

DATAMINING/

ANALYTICS

JAVA/2019-2020

Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation

DATAMINING/

ANALYTICS

JAVA/2019-2020

Collaborative Deep Learning for POI Spatial-Aware Hierarchical Recommendation

DATAMINING/

ANALYTICS

JAVA/2019-2020

Weakly-supervised Deep Embedding for Product Review Sentiment Analysis

DATAMINING/

ANALYTICS

JAVA/2019-2020

String Similarity Search: A Hash-Based Approach

DATAMINING/

ANALYTICS

JAVA/2019-2020

10.

Knowledge Graph Embedding: A Survey of Approaches and Applications

DATAMINING/

ANALYTICS

JAVA/2019-2020

Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News

DATAMINING/

ANALYTICS

JAVA/2019-2020

Document Summarization for Answering Non-Factoid Queries

DATAMINING/

ANALYTICS

JAVA/2019-2020

Automating Characterization Deployment in Distributed Data Stream Management Systems

DATAMINING/

ANALYTICS

JAVA/2019-2020

14.

Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search

DATAMINING/

ANALYTICS

JAVA/2019-2020

15.

Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data

DATAMINING/

ANALYTICS

JAVA/2019-2020

16.

l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items

DATAMINING/

ANALYTICS

JAVA/2019-2020

17.

Interactive Data Exploration with Smart Drill-Down (Extended Version)

DATAMINING/

ANALYTICS

JAVA/2019-2020

18.

Platform-independent Robust Query Processsing

DATAMINING/

ANALYTICS

JAVA/2019-2020

19.

When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction in Online Social Networks

DATAMINING/

ANALYTICS

JAVA/2019-2020

20.

Destination Prediction by Trajectory Distribution-Based Model

DATAMINING/

ANALYTICS

JAVA/2019-2020

21.

Reverse Approximate Nearest Neighbor Queries

DATAMINING/

ANALYTICS

JAVA/2019-2020

22.

Efficient Recommendation of Aggregate Data Visualizations

DATAMINING/

ANALYTICS

JAVA/2019-2020

23.

Product Adoption Rate Prediction in a Competitive Market

DATAMINING/

ANALYTICS

JAVA/2019-2020

24.

FEDERAL: A Framework for Distance-Aware Privacy-Preserving Record Linkage

DATAMINING/

ANALYTICS

JAVA/2019-2020

25.

An Efficient Ride-Sharing Framework for Maximizing Shared Route

DATAMINING/

ANALYTICS

JAVA/2019-2020

Redundancy Reduction for Prevalent Co-location Patterns

DATAMINING/

ANALYTICS

JAVA/2019-2020

On the Complexity of Bounded View Propagation for Conjunctive Queries

DATAMINING/

ANALYTICS

JAVA/2019-2020

Differentially Private Data Publishing and Analysis: A Survey

DATAMINING/

ANALYTICS

JAVA/2019-2020

Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification

DATAMINING/

ANALYTICS

JAVA/2019-2020

An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks

DATAMINING/

ANALYTICS

JAVA/2019-2020

Detecting Stress Based on Social Interactions in Social Networks

DATAMINING/

ANALYTICS

JAVA/2019-2020

Temporal Interaction and Causal Influence in Community-Based Question Answering

DATAMINING/

ANALYTICS

JAVA/2019-2020

Learning Online Trends for Interactive Query Auto-Completion

DATAMINING/

ANALYTICS

JAVA/2019-2020

Robust Dual Clustering with Adaptive Manifold Regularization

DATAMINING/

ANALYTICS

JAVA/2019-2020

An Efficient Indexing Method for Skyline Computations with Partially Ordered Domains

DATAMINING/

ANALYTICS

JAVA/2019-2020

Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling

DATAMINING/

ANALYTICS

JAVA/2019-2020

Continuous Top-k Monitoring on Document Streams

DATAMINING/

ANALYTICS

JAVA/2019-2020

Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration

DATAMINING/

ANALYTICS

JAVA/2019-2020

Efficient Keyword-Aware Representative Travel Route Recommendation

DATAMINING/

ANALYTICS

JAVA/2019-2020

Storing, Tracking, and Querying Provenance in Linked Data

DATAMINING/

ANALYTICS

JAVA/2019-2020

Scalable Algorithms for CQA Post Voting Prediction

DATAMINING/

ANALYTICS

JAVA/2019-2020

Semiring Rank Matrix Factorization

DATAMINING/

ANALYTICS

JAVA/2019-2020

A Multi-Objective Optimization Approach for Question Routing in Community Question Answering Services

DATAMINING/

ANALYTICS

JAVA/2019-2020

Finding Related Forum Posts through Content Similarity over Intention-Based Segmentation

DATAMINING/

ANALYTICS

JAVA/2019-2020

LS-Join: Local Similarity Join on String Collections

DATAMINING/

ANALYTICS

JAVA/2019-2020

Mining Competitors from Large Unstructured Datasets

DATAMINING/

ANALYTICS

JAVA/2019-2020

Managing Temporal Constraints with Preferences: Representation, Reasoning, and Querying

DATAMINING/

ANALYTICS

JAVA/2019-2020

GALLOP: GlobAL Feature Fused LOcation Prediction for Different Check-in Scenarios

DATAMINING/

ANALYTICS

JAVA/2019-2020

User-Centric Similarity Search

DATAMINING/

ANALYTICS

JAVA/2019-2020

Data-Driven Answer Selection in Community QA Systems

DATAMINING/

ANALYTICS

JAVA/2019-2020

Keyword Search over Distributed Graphs with Compressed Signature

DATAMINING/

ANALYTICS

JAVA/2019-2020

Modeling and Learning Distributed Word Representation with Metadata for Question Retrieval

DATAMINING/

ANALYTICS

JAVA/2019-2020

User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective

DATAMINING/

ANALYTICS

JAVA/2019-2020

Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism

DATAMINING/

ANALYTICS

JAVA/2019-2020

Telecommunication Projects

Telecommunication occurs when the exchange of information between two or more entities (communication) includes the use of technology. Communication technology uses channels to transmit information (as electrical signals), either over a physical medium (such as signal cables), or in the form of electromagnetic waves.

The word is often used in its plural form, telecommunications, because it involves many different technologies.

titles

Design Of A Compact Wideband MimOAntenna For Mobile Terminals

Dielectric Resonator Antennas: Designs And Advances

Compact Band-Notched Uwb Dielectric Resonator Antennas

Wideband P-Shaped Dielectric Resonator Antenna

A Novel Multi-Permittivity Cylindrical Dielectric Resonator Antenna For Wideband Applications

Compact Dielectric Resonator Antenna With Band-Notched Characteristics For Ultra-Wideband Applications

A Novel LteMimo Antenna WithDecouplingelement For Mobile Phone Application

Dielectric Resonator Antenna For X Band Microwave Application

Design And Analysis Of Dual-Band C-Shaped Microstrip Patch Antenna

Small Internal Antenna Using Multiband, Wideband, And High-Isolation Mimo Techniques

A Compact Planar Hexa-Band Internal Antenna For Mobile Phone

Dielectric Resonator Antenna For Short Range Wireless Communication Applications

Design And Analysis Of Microstrip Antennas For Ultra-Wide Band Applications

Modified Design Of Microstrip Patch Antenna ForWimax Communication System

Quad-Band Mimo Antenna Array For Portable Wireless Communications Terminals

Quad Band Handset Antenna ForLteMimo And Wlan Application

Analysis And Design Of Rectangular Microstrip Patch Antenna On Different Resonant Frequencies For Pervasive Wireless Communication

Compact Ultra-Wideband Printed Monopole Antenna With Inverted L-Shaped Slots For Data Communication And Rf Energy Harvesting

Multi Band U-Slot Microstrip Patch Antenna ForWlan And Wi-Max Applications

Investigation Of An Annular Dielectric Resonator Antenna For Wireless Applications

Design A Square Microstrip Patch Antenna For S-Band Application

Design And Performance Antenna Diversity For MimoWimax Mobile Terminals

Experimental Study Of Stacked Rectangular Microstrip Antenna For Dual-Band

Wideband P-Shaped Dielectric Resonator Antenna With Coaxial Probe Feed

Design Analysis Of Microstrip Patch Antenna For Rectangular And Circular Patches

Design And Bandwidth Enhancement Of Rectangular Microstrip Patch Antenna Using Double H-Slot Technique For Broadband Applications

Design And Analysis Of Gain For Rectangular Microstrip Patch Antenna Using Symmetrical Cuts

Design And Analysis Of Rectangular Microstrip Patch Antenna Using Metamaterial For Better Efficiency

Design And Simulation Of A Pifa Antenna For The Use In 4g Mobile Telecommunications Networks

Design Of Multilayer Aperture Coupled Stacked Microstrip Patch Antenna For Wlan Applications

Design Of Microstrip Stacked Square Patch Antenna

Design Of An H-Shaped Microstrip Patch Antenna For Bluetooth Applications

Design And Analysis Of Rectangular Microstrip Patch Antenna For Gsm Application

Design & Analysis Of Proximity Fed Circular Disk Patch Antenna

Isolation Enhancement OfMimo Antenna For Wireless Routers In Lte Band Applications

36.Wideband Sierpinski Carpet Fractal Shaped Cylindrical Dielectric Resonator Antenna For X-Band Application

37.Design And Analysis Of Circlehead Shape Microstrip Patch Antenna

Design And Analysis Of A U-Slot Planar Inverted-F Antenna For Gsm900 And Dcs1800 Band

Multiband Printed Slot Meander Patch Antenna ForMimo Implementation In 4g Handheld Devices

Design And Analysis Of Rectangular And U Slotted Microstrip Patch Using Optimization Program In Java For Uhf Applications

41.Comparative Analysis Of Stack Shaped Microstrip Patch Antenna

Ring Dielectric Resonator Antenna For Broadband Application

Comparative Study Of Bandwidth Improvement Techniques Of Micro Strip Patch Antennas

Design and Analysis of Rectangular Microstrip Antenna withPBG Structure for Enhancement of Bandwidth.

Design and Analysis of RectangularMicrostrip Patch Antenna Using Inset FeedTechnique for Wireless Application

Patch Loaded DRA for Broadband WLAN Applications

A Compact Capacitive Coupled Dual-Band PlanarInverted F Antenna

TLM modeling(using munsun model) of rectangular microstrip patch antenna.

Design and analysis of planar inverted-F antenna for various communication applications.

Design and analysis of rectangular microstrip patch antenna.

Networking Projects

A network simulator is software that predicts the behavior of a computer network. Since communication Networks have become too complex for traditional analytical methods to provide an accurate understanding of system behavior network simulator are used. In simulators, the computer network is typically modeled with devices, links, applications etc. and the performance is analysed.

Simulators typically come with support for the most popular technologies and networks in use today.

Network Multimedia:

1.Intelligent Fruit Fly Algorithm for Maximization Coverage Problem in Wireless Sensor Network
2. Zero-Power Temperature Sensor for Wireless Harmonic Systems based on a Reflection-type Phase Shifter and a Bimorph Cantilever
3. Clustering and Routing Optimization Algorithm for Heterogeneous Wireless Sensor Networks
4. Energy Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks
5. Efficient Wireless Charging Pad Deployment in Wireless Rechargeable Sensor Networks
6. A Simple Clustering Strategy for Wireless Sensor Networks
7. Data Sensing based Inventive System for Multimedia and Sensing of Web Applications
8. Deep Learning for Multi-Step Performance Prediction in Operational Optical Networks
9. On Security Against Pollution Attacks in Network Coding Enabled 5G Networks
10. Throughput Maximization in Cloud-Radio Access Networks using Cross-Layer Network Coding
11. Invulnerability Analysis of Wireless Sensor Networks based on Cellular Automata
12. Dissimilarity measure for community discovery in dynamic networks
13. Circuit Allocation with Strengthened Medium Core in Spatially-Multiplexed Elastic Optical Networks
14. Adjusted Location Privacy Scheme for VANET Safety Applications
15. Applying Genetic Algorithm in Intrusion Detection System of IoT Applications
16. Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks
17. Encrypted Application Classification with Convolutional Neural Network
18. A Versatile Out-of-Band Software-Defined Networking Solution for the Internet of Things
19. Application-Aware Scheduling of Networked Applications over the Low-Power Wireless Bus
20. Simulation-based Research of BATS Code Applied to Flying Ad-hoc Networks
21. Smart Network Infrastructure to Localise Drones for Supporting Mission Critical Services
22. Auditable secure network overlays for multi-domain distributed applications
23. Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models
24. 802.1X-2020 - IEEE Standard for Local and Metropolitan Area Networks--Port-Based Network Access Control
25. A hybrid link protection scheme for ensuring network service availability in link-state routing networks

Network Scurity:

1. Auto-Generating Neural Networks with Reinforcement Learning for Multi-Purpose Image Forensics
2. Making Decision on Sharing Forensic Data with the Fuzzy Logic Approach
3. Forensic Scanner Identification Using Machine Learning
4. A Granular Level Feature Extraction Approach to Construct HR Image for Forensic Biometrics Using Small Training DataSet
5. Forensic Similarity for Digital Images
6. A Curve Fitting Thresholding Approach for Forensic Source Identification of JPEG Compressed Images
7. Multi-Attack Detection using Forensics and Neural Network based Prevention for Secure MANETs
8. Deep Learning Based Person Authentication Using Hand Radiographs: A Forensic Approach
9. WNetFAF: An Integrated Wireless Network Forensic Analysis Framework
10. Distributed Network Forensics Framework: A Systematic Review

Engineering projects | Aislyn Technologies Pvt Ltd

Engineering Projects

Engineering projects | Aislyn Technologies Pvt Ltd

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Engineering projects | Aislyn Technologies Pvt Ltd

Engineering R&D& Work

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Embedded Solutions

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Digital Signal Processing

Digital signal Processing:

Android Application

Digital image processing

Image Processing Applications:

Medical Applications:

Biometric applications:

Commercial Applications:

Artificial Intelligent:

Image Cryptography:

Image Steganography:

VLSI

Artificial intelligence

I O T

IOT Projects:

Embedded IOT Projects:

Machine learning

Covid-19:

Commercial Applications:

Agriculture Applications:

Medical Applications:

Web Applications

Embedded Projects

Titles

Cloud Computing

Titles

Cloud Computing

Data Mining Projects

Data Mining

Telecommunication Projects

Networking Projects

Network Multimedia:

Network Scurity:

Founders of Aislyn Technologies Pvt Ltd

Venkatesh S

Sivakumar S

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