Recent Trends in Image Processing and Pattern Recognition

Healthcare Informatics.- Leveraging Handwriting Impairment as a Biomarker for Early Diagnosis of Parkinson's Disease.- Enhancing CT Image Visualization and Analysis through Rescaling Raw Pixel Values to Hounsfield Units.- Diabetic Retinopathy Blood Vessel Detection using Deep-CNN-Based Feature Extraction and Classification.- Detection of COVID-19 Disease Using Federated Learning.- Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach.- Compressed Deep Learning Models with XAI for COVID-19 Detection using CXR images.- HLB disease detection in Omani Lime Trees using Hyperspectral Imaging based Techniques.- A Stack Ensemble Approach for Early Alzheimer Classification using Machine Learning Algorithms.- Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-ray.- Silicosis Detection using Extended Transfer Learning Model.- Automated Make and ModelIdentification of Reverse Shoulder Implants Using Deep Learning Methodology.- COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolution Neural Network (GANs-CNN) Model.- Modified Snapshot Ensemble Algorithm for Skin Lesion Classification.- A residual learning approach towards the diagnosis of colorectal disease effectively.- Realistic skin image Data Generation leveraging Conditional GAN and classification using Deep CNN.- Radiography and Thermography based Image Processing Techniques for Assessment of Lower Back Pain.- Exploring Imaging Biomarkers for Early Detection of Alzheimer's Disease using Deep Learning: A Comprehensive Analysis.- Pattern Recognition in Blockchain, IOT, Cyber Plus Network Security, and Cryptography.- VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks.- Crypto Bank: Cryptocurrency Wallet Based on Blockchain.- Large-Language-Models (LLM) -Based