Machine Learning

PROJECT CODE PROJECT TITLE
ML01 Distributed Machine Learning for Multi user Mobile Edge Computing Systems
ML02 Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security
ML03 CNN Based Fundus Images Classification For Glaucoma Identification
ML04 Future Prediction of COVID-19 based on Supervised Machine Learning Models
ML05 Stroke Risk Prediction With Hybrid Deep Transfer Learning Framework
ML06 Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment
ML07 Prediction of Air Pollutant PM10 using Various SVM Models
ML08 Comparative Analysis of Forecasting Models for Air Quality Index Prediction
ML09 Explaining Graph Neural Networks With Topology-Aware Node Selection Application in Air Quality Inference
ML10 Comparative Analysis of Supervised Machine Learning Techniques for AQI Prediction
ML11 Prediction Of Concentration of Air Pollution Using Deep and Machine Learning
ML12 Drowsy Status Monitoring System based on Face Feature Analysis
ML13 Analysis of Breast Cancer using Machine Learning Methods
ML14 Machine Learning Based Preemptive Diagnosis of Lung Cancer Using Clinical Data
ML15 Diagnosis of cardiovascular disorder by CT images using Machine Learning technique
ML16 An Event-Based Framework for Facilitating Real-Time Sentiment Analysis in Educational Contexts
ML17 Improved Sentimental Analysis to the Movie Reviews using Naive Bayes Classifier
ML18 Fake Reviews Detection using Support Vector Machine
ML19 Feature Extraction and Classification of Bone Tumor using CNN Classifier with KNN Classifier
ML20 Analysis of customer reviews and predicting future release of products using Machine Learning
ML21 Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information Deep Learning Model Based on 3D Convolution and Convolutional LSTM
ML22 Face Detection from Blurred Images based on Convolutional Neural Networks
ML23 Deep Learning-Based Glaucoma Detection with Cropped Optic Cup and Disc and Blood Vessel Segmentation
ML24 EfficientNet with Optimal Wavelet Neural Network for DR Detection and Grading
ML25 Diagnosis of cardiovascular disorder by CT images using Machine learning technique
ML26 An Efficient CNN Model to Detect Copy-Move Image forgery
ML27 Smart Vehicle Number Plate Scanning System using Optical Character Recognition Strategy
ML28 Crime analysis and Prediction using Neural Networks
ML29 A Comparative Study of ConvoBiGRU and ConvoBiLSTM on Amazon Dataset
ML30 Speech Emotion Recognition using Machine Learning
ML31 Autism Spectrum Disorder Detection Techniques
ML32 Detection of Stress in IT Employees using Machine Learning Technique
ML33 Logical Mining Assisted Heart Disease Prediction Scheme in Association with Deep Learning Principles
ML34 Implementation of Personality Detection and Accuracy Prediction for identification of fake and true news using Decision Tree and Random Forest Algorithms
ML35 Sentiment Analysis for Arabic Tweets on Covid
ML36 Brain Tumor Detection from MRI Images using Naive Classifier
ML37 A New CNN-Based Method for Multi-Directional Car License Plate Detection
ML38 Verifiable and Secure SVM Classification for Cloud based health monitoring system
ML39 A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices
ML40 DETECTION OF DIABETIC SEVERITY THROUGH DNN ALGORITHM USING FUNDUS IMAGE
ML41 FAKE LOGO DETECTION SYSTEM
ML42 PLANT LEAF DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
ML43 Lung Disease Detection Of Diabetic Patients By DNN Approach Using Ct Scan Images
ML44 Medical Image Forgery Detection for Smart Healthcare
ML45 FAKE VIDEO IDENTIFICATION USING NEURAL NETWORK
ML46 Stock market prediction using machine learning
ML47 ANIMAL INTRUSION DETECTION SYSTEM IN AGRICULTURAL FIELDS
ML48 DRONE DETECTION SYSTEM IN INDIAN AIRFORCE
ML49 VEHICLE INSURANCE AUTO INCREASE USING MACHINE LEARNING
ML50 The Improvement of Character Recognition on ANPR Algorithm using CNN Method with Batch Normalization