Download – IEEE Machine Learning Projects List 2023-2024
TTSML1 Machine Learning Techniques for Sentiment Analysis of COVID-19 Related Twitter Data
TTSML2 Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches
TTSML3 Phishing Detection System Through Hybrid Machine Learning Based on URL
TTSML4 Classification and Prediction of Significant Cyber Incidents (SCI) using Data Mining and Machine Learning (DM-ML)
TTSML5 Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
TTSML6 Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
TTSML7 Alzheimer’s Disease Detection Using Comprehensive Analysis of Timed Up and Go Test via Kinect V.2 Camera and Machine Learning
TTSML8 A Systematic Method of Stroke Prediction Model based on Big Data and Machine Learning
TTSML9 Hyper spectral Anomaly Detection Based on Machine Learning: An Overview
TTSML10 Detecting Malicious URLs Using Machine Learning Techniques: Review and Research Directions
TTSML11 Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms
TTSML12 Fraud Detection in Banking Data by Machine Learning Techniques
TTSML13 A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers
TTSML14 A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks
TTSML15 Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques
TTSML16 Learning Speech Emotion Representations in the Quaternion
TTSML17 Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data TTSML18 Robust IoT Malware Detection and Classification Using Opcode Category Features on
Machine Learning
TTSML19 Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
TTSML20 Fraud Detection in Banking Data by Machine Learning Techniques
TTSML21 Active Learning Based on Transfer Learning Techniques for Text Classification TTSML22 A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques TTSML23 A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
TTSML24 Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
TTSML25 Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
TTSML26 FMDADM: A Multi-Layer DDoS Attack Detection and Mitigation Framework Using Machine Learning for Stateful SDN-Based IoT Networks
TTSML27 Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
TTSML28 Emotion Recognition of Subjects With Hearing Impairment Based on Fusion of Facial Expression and EEG Topographic Map
TTSML29 Smart Edge-Based Driver Drowsiness Detection in Mobile Crowdsourcing
TTSML30 The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions
TTSML31 Object-Centric Masked Image Modeling-Based Self-Supervised Pretraining for RemoteSensing Object Detection
TTSML32 Risk Prediction of Alzheimer’s Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation
TTSML33 Network Intrusion Detection with Two-Phased Hybrid Ensemble Learning and Automatic Feature Selection
TTSML34 Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
TTSML35 Forecasting Tourism Demand by a Novel Multi-Factors Fusion Approach
TTSML36 Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers
TTSML37 Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion
TTSML38 Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis
TTSML39 Classification and Prediction of Significant Cyber Incidents (SCI) using Data Mining and Machine Learning (DM-ML)
TTSML40 Remote Sensing Scene Classification Via Multigranularity Alternating Feature Mining
TTSML41 Impact of Mobile Technology and Use of Big Data in Physics Education During Coronavirus Lockdown
TTSML42 An overview of data integration in neuroscience with focus on Alzheimer’s Disease
TTSML43 Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection
TTSML44 Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models
TTSML45 A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism
TTSML46 Gene Expression Data Analysis Using Feature Weighted Robust Fuzzy c-Means Clustering
TTSML47 Fraud Detection in Banking Data by Machine Learning Techniques
TTSML48 Community Detection Algorithms in Healthcare Applications: A Systematic Review
TTSML49 Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization NeuralNetwork
TTSML50 Reversible data hiding in encrypted images with secret sharing and hybrid coding
TTSML51 Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques
TTSML52 Consumer Behavior Analysis on Sales Process Model Using Process Discovery Algorithm for the Omnichannel Distribution System
TTSML53 Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection
TTSML54 SDOT: Secure Hash, Semantic Keyword Extraction, and Dynamic Operator Pattern-Based Three-Tier Forensic Classification Framework
TTSML55 Human Pose Estimation Using Thermal Images
TTSML56 DeepRetention: A Deep Learning Approach for Intron Retention Detection
TTSML57 RF-PSSM: A Combination of Rotation Forest Algorithm and Position-Specific Scoring Matrix for Improved Prediction of Protein-Protein Interactions Between Hepatitis C Virus and Human
TTSML58 An Improved Lightweight Yolo-Fastest V2 for Engineering Vehicle Recognition Fusing Location Enhancement and Adaptive Label Assignment
TTSML59 RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
TTSML60 An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security
TTSML61 Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets
TTSML62 A Novel Machine Learning Approach for Android Malware Detection Based on the Co- Existence of Features
TTSML63 Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction
TTSML64 A High-Quality Rice Leaf Disease Image Data Augmentation Method Based on a Dual GAN
TTSML65 Big Data ML-Based Fake News Detection Using Distributed Learning TTSML66 Real-Time Analytics: Concepts, Architectures, and ML/AI Considerations
TTSML67 Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
TTSML68 Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning
TTSML69 Malaria Disease Cell Classification With Highlighting Small Infected Regions TTSML70 Enhanced Text-to-Image Synthesis With Self-Supervision
TTSML71 Secure Medical Image Communication Using Fragile Data Hiding Based on Discrete Wavelet Transform and A5 Lattice Vector Quantization
TTSML72 Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
TTSML73 Deep Learning-Based Multiscale Pyramid Sieve and Analysis Module in Image Segmentation
TTSML74 A Novel Image Cryptosystem Inspired by the Generation of Biological Protein Sequences
TTSML75 A Deep Learning-Based Experiment on Forest Wildfire Detection in Machine Vision Course
TTSML76 Deep Cleaner—A Few Shot Image Dataset Cleaner Using Supervised Contrastive Learning
TTSML77 A High-Quality Rice Leaf Disease Image Data Augmentation Method Based on a Dual GAN
TTSML78 Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
TTSML79 Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics
TTSML80 FieldPlant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
TTSML81 Classification of Liver Fibrosis From Heterogeneous Ultrasound Image
TTSML82 Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
TTSML83 Modified Salp Swarm Algorithm With Deep Learning Based Gastrointestinal Tract Disease Classification on Endoscopic Images
TTSML84 Improving Image Compression With Adjacent Attention and Refinement Block
TTSML85 Building Detection From Panchromatic and Multispectral Images With Dual-Stream Asymmetric Fusion Networks
TTSML86 Noise-Against Skeleton Extraction Framework and Application on Hand Gesture Recognition
TTSML87 An Underwater Target Wake Detection in Multi-Source Images Based on Improved YOLOv5
TTSML88 Spatial Context-Aware Object-Attentional Network for Multi-Label Image Classification
TTSML89 An Integrated Image Encryption Scheme Based on Elliptic Curve Class-Adaptive Data Augmentation for Image Classification
TTSML90 Low-Light Image Enhancement Using a Simple Network Structure
TTSML91 Multi-Level Residual Feature Fusion Network for Thoracic Disease Classification in Chest X-Ray Images
TTSML92 Image Generation and Recognition Technology Based on Attention Residual GAN
TTSML93 Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach
TTSML94 A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images
TTSML95 AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images
TTSML96 Application of X-Ray Imaging and Convolutional Neural Networks in the Prediction of Tomato Seed Viability
- A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media
- A Deep Learning Ensemble with Data Resampling for Credit Card Fraud Detection
- Accelerating Crop Yield: Multisensor Data Fusion and Machine Learning for Agriculture Text Classification
- A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework
- Big Data ML-Based Fake News Detection Using Distributed Learning
- Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
- Comparative Analysis of Intrusion Detection Systems and Machine Learning-Based Model Analysis Through Decision Tree
- Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
- Deep Learning in Cervical Cancer Diagnosis:Architecture, Opportunities, and Open Research Challenges
- Depression detection from social network data using machine learning techniques
- DrOGA: An Artificial Intelligence Solution for Driver-Status Prediction of Genomics Mutations in Precision Cancer Medicine
- Real-Time Water and Electricity Consumption Monitoring Using Machine Learning Techniques
- MedAi: A Smartwatch-Based Application Framework for the Prediction of Common Diseases Using Machine Learning
- Fraud Detection in Banking Data by Machine Learning Techniques
- ECG Measurement System for Vehicle Implementation and Heart Disease Classification Using Machine Learning
- Modified Earthworm Optimization With Deep Learning Assisted Emotion Recognition for Human Computer Interface
- Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson’s Disease Based on Spiral and Wave Drawings
- Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
- Multi-Label Multimodal Emotion Recognition With Transformer-Based Fusion and Emotion-Level Representation Learning
- Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
- Pathogen-Based Classification of Plant Diseases: A Deep Transfer Learning Approach for Intelligent Support Systems
- Phishing Detection System Through Hybrid Machine Learning Based on URL
- Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique
- Remote Sensing Based Crop Type Classification Via Deep Transfer Learning
- Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models
IEEE Python Machine Learning Projects List 2023-2024
IEEE Machine Learning Projects Using Python with Sourcecode 2023 – 2024