Recent Trends in Image Processing and Pattern Recognition

Artificial Intelligence and Applied Machine Learning.- Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach.- Fake News Detection Using Transfer Learning.- Deep Learning Envisioned Accident Detection System.- Revolutionizing Drug Discovery: Unleashing AI's Potential in Pharmaceutical Innovation.- Empathy-Driven Chatbots for the Arabic Language: A Transformer Based Approach.- Image Classification Using Federated Learning.- Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation.- Fake News Investigation Using Ensemble Machine Learning Techniques.- Deep Learning Based Bug Detection in Solidity Smart Contracts.- Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction.- Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users.- Deep Reinforcement Learning Based Intelligent Resource Allocation Techniques with Applications to Cloud Computing.- A Review on Machine Learning Techniques in IoT-based Smart Grid Applications.- Transformation Of Corporate Social Responsibility Practices: Adapting Artificial Intelligence and Internet of Things.- Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data.- Applied Image Processing and Pattern Recognition.- Potato Leaf Disease Classification Using Federated Learning.- Sugarcane Bud Detection using YOLOv5.- ELA-Conv: Forgery Detection in Digital Images Based on ELA and CNN.- Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study.- Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-provoking Crucial Research Area.- An Arabic Chatbot Leveraging Encoder-Decoder Architecture Enhanced with BERT.- FNMD: An Evaluation of Machine learning and Deep learning Techniques for Fake