Projects

IEEE MACHINE LEARNING DOMAIN PROJECTS

  • Fatigue State Detection for Tired Persons in Presence of Driving Periods
  • A Hybrid MachineLearning Ensemble for Anomaly Detection in RealTime Industry 40 Systems
  • Detection and Characterization of DDoS Attacks Using TimeBased Features
  • A Novel TimeAware Food RecommenderSystem Based on Deep Learning and Graph Clustering
  • A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid
  • Analysis on Benefits and Costs of Machine LearningBased Early Hospitalization Prediction
  • SigRep Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning
  • The Effect of Fake Reviews on eCommerce During and After Covid19 Pandemic SKLBased Fake Reviews Detection
  • ICS Total Freedom in Manual Text Classification Supported by Unobtrusive Machine Learning
  • Bangla Natural Language Processing A Comprehensive Analysis of Classical Machine Learning and Deep LearningBased Methods
  • A Systematic Review of Literature on Automated Sleep Scoring
  • Generic Symbolic Music Labeling Pipeline
  • Inquest of Current Situation in Afghanistan Under Taliban Rule Using Sentiment Analysis and Volume Analysis
  • An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers
  • Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques
  • Machine LearningBased Digital Twin for Predictive Modeling in Wind Turbines
  • Deep Learning Techniques for Diabetic Retinopathy Classification A Survey
  • Pick Quality Over Quantity Expert Feature Selection and Data Preprocessing for 80211 Intrusion Detection Systems
  • Malware Detection A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms
  • Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine LearningBased Ensemble Model
  • Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic Chest Radiography
  • SmartphoneBased Digital Biomarkers for Parkinsons Disease in a RemotelyAdministered Setting
  • A Survey on Machine Learning SoftwareDefined Wireless Sensor Networks MLSDWSNs Current Status and Major Challenges
  • SoCBased Early Failure Detection System Using Deep Learning for Tool Wear
  • Mimicking Infants Bilingual Language Acquisition for Domain Specialized Neural Machine Translation
  • Machine Learning Models for Traffic Classification in Electromagnetic NanoNetworks
  • Remote Sensing and Machine Learning Modeling to Support the Identification of Sugarcane Crops
  • An Improved Extreme Learning Machine for Imbalanced Data Classification
  • Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV
  • Residential Electricity Rate Plans and Their Selections Based on Statistical Learning
  • MetaTransfer Learning Using Wavelet Decomposition for MultiHorizon Time Series Forecasting
  • Decentralized Federated Learning for Healthcare Networks A Case Study on Tumor Segmentation
  • A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction
  • Hyperspectral Anomaly Detection Based on Machine Learning An Overview
  • Machine Learning Methods for Forest Image Analysis and Classification A Survey of the State of the Art
  • Machine Learning in EventTriggered Control Recent Advances and Open Issues
  • A SLR on Customer Dropout Prediction
  • Online Students Learning Behaviors and Academic Success An Analysis of LMS Log Data From Flipped Classrooms via Regularization
  • eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics
  • Machine LearningBased Analysis of Cryptocurrency Market Financial Risk Management
  • LinRegDroid Detection of Android Malware Using Multiple Linear Regression ModelsBased Classifiers
  • Machine Learning in Precision Agriculture A Survey on Trends Applications and Evaluations Over Two Decades
  • Multiobjective Deep Reinforcement Learning for Recommendation Systems
  • dropCyclic Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification
  • Pneumonia Detection Proposing a Hybrid Deep Convolutional Neural Network Based on Two Parallel Visual Geometry Group Architectures and Machine Learning Classifiers
  • Improving Indoor Localization Using Mobile UWB Sensor and Deep Neural Networks
  • On the Effectiveness of PreTrained Language Models for Legal Natural Language Processing An Empirical Study
  • Plant Disease Identification Using a Novel Convolutional Neural Network
  • SASDL and RBATQ Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based QLearning for EEG Classification
  • A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection
  • An Online Transfer Learning Framework With Extreme Learning Machine for Automated Credit Scoring
  • WaterNet A Network for Monitoring and Assessing Water Quality for Drinking and Irrigation Purpose
  • Predicting the Entrepreneurial Success of Crowdfunding Campaigns Using ModelBased Machine Learning Methods
  • A Feature Selection Approach Hybrid Grey Wolf and HeapBased Optimizer Applied in Bearing Fault Diagnosis
  • LowerLimb Joint Torque Prediction Using LSTM Neural Networks and Transfer Learning
  • Variable Impedance Skill Learning for ContactRich Manipulation
  • Next Day Wildfire Spread A Machine Learning Dataset to Predict Wildfire Spreading From RemoteSensing Data
  • A Novel TwoMode Integral Approach for Thermal Error Modeling in CNC MillingTurning Machining Center
  • A Machine LearningBased Classification and Prediction Technique for DDoS Attacks
  • Rumors Detection Based on Lifelong Machine Learning
  • SVMnet NonParametric Image Classification Based on Convolutional Ensembles of Support Vector Machines for Small Training Sets
  • Detection of Diabetes Mellitus With Deep Learning and Data Augmentation Techniques on Foot Thermography
  • Shortterm Wind Power Prediction Based on Soft Margin Multiple Kernel Learning Method
  • A Dish Recognition Framework Using Transfer Learning
  • Rainfall Estimation From TEMPESTD CubeSat Observations A MachineLearning Approach
  • OGSSL A SemiSupervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition
  • PDResNet for Classification of Parkinsons Disease From Gait
  • Robust Network Intrusion Detection System Based on MachineLearning With Early Classification
  • Stop Oversampling for Class Imbalance Learning A Review
  • Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors
  • CDLNet NoiseAdaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing
  • EEG Signal Processing for Alzheimers Disorders Using Discrete Wavelet Transform and Machine Learning Approaches
  • A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia
  • On the Performance of Deep Transfer Learning Networks for Brain Tumor Detection Using MR Images
  • A New L MultiKernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost
  • Intelligent Machine Fault Diagnosis Using Convolutional Neural Networks and ransfer Learning
  • MachineLearning Model to Predict the Intradialytic Hypotension Based on ClinicalAnalytical Data
  • Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites
  • Medium and LongTerm Precipitation Forecasting Method Based on Data Augmentation and Machine Learning Algorithms
  • Review of Machine Learning Based Fault Detection for Centrifugal Pump Induction Motors
  • A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture A Case Study of Banana Crop
  • Power Prediction in Register Files Using Machine Learning
  • Survival Analysis of COVID19 Patients With Symptoms Information by Machine Learning Algorithms
  • Machine Learning Models for Predicting Financially Vigilant LowIncome Households
  • Fault Detection and Classification for Wide Area Backup Protection of Power Transmission Lines Using Weighted Extreme Learning Machine