cspsofttech

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.

CODE	TITLE	OUTPUT
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

PATTERN ANALYSIS AND MACHINE INTELLIGENCE