Machine Learning

Machine Learning

• ML01

  Distributed Machine Learning for Multiuser 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
  
• 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-19 Using Computational Techniques
  
• 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 services
  
• 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 Networks
  
• ML46

  Stock Market Prediction using Machine Learning
  
• ML47

  Animal Detection In Wildlife system using Inveptionv3 model
  
• ML48

  Drone Detection System for security purpose in Airforce
  
• ML49

  Vehicle insurance auto increase using machine learning
  
• ML50

  The Improvement of Character Recognition on ANPR Algorithm using CNN Method with Batch Normalization