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IEEE Pattern Analysis and Machine Intelligence projects for Engineering students-M.Tech, B.Tech, BE, MSC, MCA, Diploma Students

Matlab/ Python/NS2/ Java/Dot Net IEEE Pattern Analysis and Machine Intelligence projects with source code and IEEE papers

IEEE Transactions on Pattern Analysis and Machine Intelligence is a monthly peer-reviewed scientific journal published by the IEEE Computer Society.

CSPML23001 Learning Speech Emotion Representations in the Quaternion
CSPML23002 Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
CSPML23003 Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning
CSPML23004 Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
CSPML23005 Fraud Detection in Banking Data by Machine Learning Techniques
CSPML23006 Active Learning Based on Transfer Learning Techniques for Text Classification
CSPML23007 A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques
CSPML23008 A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
CSPML23009 Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
CSPML23010 Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
CSPML23011 FMDADM: A Multi-Layer DDoS Attack Detection and Mitigation Framework Using Machine Learning for Stateful SDN-Based IoT Networks
CSPDM23007 Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion
CSPDM23009 Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis
CSPDM23016 Classification and Prediction of Significant Cyber Incidents (SCI) using Data Mining and Machine Learning (DM-ML)
CSPDM23017 Remote Sensing Scene Classification Via Multigranularity Alternating Feature Mining
CSPDM23029 Impact of Mobile Technology and Use of Big Data in Physics Education During Coronavirus Lockdown
CSPDM23033 An overview of data integration in neuroscience with focus on Alzheimer’s Disease
CSPDM23035 Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and BidirectionalGated Recurrent Unit With Features Selection
CSPDM23036 Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models
CSPDM23037 A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism
CSPDM23039 Gene Expression Data Analysis Using Feature Weighted Robust Fuzzy c-Means Clustering
CSPDM23044 Fraud Detection in Banking Data by Machine Learning Techniques
CSPDM23045 Community Detection Algorithms in Healthcare Applications: A Systematic Review
CSPDM23046 Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network
CSPDM23047 Reversible data hiding in encrypted images with secret sharing and hybrid coding
CSPDM23048 Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques
CSPDM23049 Consumer Behavior Analysis on Sales Process Model Using Process Discovery Algorithm for the Omnichannel Distribution System
CSPDM23050 Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection
CSPDM23051 SDOT: Secure Hash, Semantic Keyword Extraction, and Dynamic Operator Pattern-Based Three-Tier Forensic Classification Framework
CSPDM23052 Human Pose Estimation Using Thermal Images
CSPDM23053 DeepRetention: A Deep Learning Approach for Intron Retention Detection
CSPDM23054 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
CSPDM23055 An Improved Lightweight Yolo-Fastest V2 for Engineering Vehicle Recognition Fusing Location Enhancement and Adaptive Label Assignment
CSPDM23056 RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
CSPDM23057 An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security
CSPDM23065 Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets
CSPDM23073 A Novel Machine Learning Approach for Android Malware Detection Based on the Co-Existence of Features
CSPDM23079 Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction
CSPBD23009 A High-Quality Rice Leaf Disease Image Data Augmentation Method Based on a Dual GAN
CSPBD23012 Big Data ML-Based Fake News Detection Using Distributed Learning
CSPBD23013 Real-Time Analytics: Concepts, Architectures, and ML/AI Considerations
CSPIM23019 Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
CSPIM23039 Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning
CSPIM23044 Malaria Disease Cell Classification With Highlighting Small Infected Regions
CSPIM23045 Enhanced Text-to-Image Synthesis With Self-Supervision
CSPIM23046 Secure Medical Image Communication Using Fragile Data Hiding Based on Discrete Wavelet Transform and A5 Lattice Vector Quantization
CSPIM23047 Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
CSPIM23048 Deep Learning-Based Multiscale Pyramid Sieve and Analysis Module in Image Segmentation
CSPIM23049 A Novel Image Cryptosystem Inspired by the Generation of Biological Protein Sequences
CSPIM23050 A Deep Learning-Based Experiment on Forest Wildfire Detection in Machine Vision Course
CSPIM23055 Deep Cleaner—A Few Shot Image Dataset Cleaner Using Supervised Contrastive Learning
CSPIM23056 A High-Quality Rice Leaf Disease Image Data Augmentation Method Based on a Dual GAN
CSPIM23057 Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
CSPIM23058 Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics
CSPIM23059 FieldPlant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
CSPIM23060 Classification of Liver Fibrosis From Heterogeneous Ultrasound Image
CSPIM23061 Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
CSPIM23067 Modified Salp Swarm Algorithm With Deep Learning Based Gastrointestinal Tract Disease Classification on Endoscopic Images
CSPIM23068 Improving Image Compression With Adjacent Attention and Refinement Block
CSPIM23069 Building Detection From Panchromatic and Multispectral Images With Dual-Stream Asymmetric Fusion Networks
CSPIM23070 Noise-Against Skeleton Extraction Framework and Application on Hand Gesture Recognition
CSPIM23071 An Underwater Target Wake Detection in Multi-Source Images Based on Improved YOLOv5
CSPIM23072 Spatial Context-Aware Object-Attentional Network for Multi-Label Image Classification
CSPIM23073 An Integrated Image Encryption Scheme Based on Elliptic Curve Class-Adaptive Data Augmentation for Image Classification
CSPIM23074 Low-Light Image Enhancement Using a Simple Network Structure
CSPIM23075 Multi-Level Residual Feature Fusion Network for Thoracic Disease Classification in Chest X-Ray Images
CSPIM23076 Image Generation and Recognition Technology Based on Attention Residual GAN
CSPIM23077 Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach
CSPIM23078 A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images
CSPIM23079 AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images
CSPIM23080 Application of X-Ray Imaging and Convolutional Neural Networks in the Prediction of Tomato Seed Viability
PM 01 A Hybrid Shared-Memory Parallel Max-Tree Algorithm for Extreme Dynamic-Range Images
PM 02 A Unified Alternating Direction Method of Multipliers by Majorization Minimization
PM 03 Active Self-Paced Learning for Cost-Effective and Progressive Face Identification
PM 04 Clustering Millions of Faces by Identity
PM 05 CODE Coherence Based Decision Boundaries for Feature Correspondence
PM 06 Convolutional Oriented Boundaries from Image Segmentation to High-Level Tasks
PM 07 DeepLab Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
PM 08 Embedding Based on Function Approximation for Large Scale Image Search
PM 09 Expression-Invariant Age Estimation Using Structured Learning
PM 10 Fast Supervised Discrete Hashing
PM 11 Learning Support Correlation Filters for Visual Tracking
PM 12 Leave-One-Out Kernel Optimization for Shadow Detection and Removal
PM 13 Longitudinal Study of Automatic Face Recognition
PM 14 Person Re-Identification by Camera Correlation Aware Feature Augmentation
PM 15 Probabilistic Elastic Part Model A Pose-Invariant Representation for Real-World Face Verification
PM 16 Robust Online Matrix Factorization for Dynamic Background Subtraction
PM 17 Saliency-Aware Video Object Segmentation
PM 18 Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
PM 19 Towards Reaching Human Performance in Pedestrian Detection
PM 20 Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition
PM 21 Video Super-Resolution via Bidirectional Recurrent Convolutional Networks
PM 22 Watch-n-Patch Unsupervised Learning of Actions and Relations