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Full Description
This book features original, peer-reviewed research papers presented at the International Conference on Recent Trends in Artificial Intelligence and Data Sciences—CONFLUENCE 2025. It aims to showcase the latest developments in various fields of data science and computational techniques. The topics covered include artificial intelligence, machine learning, data science, deep learning, soft computing, and other computational methodologies. The papers share recent findings on the aforementioned topics, making this book is a valuable resource for researchers, scientists, industry professionals, and students alike.
Contents
Deep Learning Based Human Activity Recognition for Sports and Fitness Performance Enhancement.- Beyond the Pitch-Deep Learning in Cricket Performance Analysis.- A Deep Learning Approach Using Dermoscopy Images for Classification and Diagnosis of Skin Diseases.- Stacked CNN: Deep Networks for Brain Tumor Classification.- Bi-DCGAN: Improving Facial Image Synthesis from Textual Descriptions with Integrated Deep Learning Models.- A Deep Dive into NLP Based Text Emotion Analysis.- A Hybrid Approach for Efficient and Precise Food Detection using YOLOv9 and RCNN.- Image Denoising with Generative AI: A GAN-CNN Based Approach.- Revolutionizing Brain Tumour Detection with Vision Transformers (ViT).- Analysis of Brain Tumors: A Comparative Study of YOLOv5 and U-NET Architecture.- Predicting Agitation in Dementia patients using IOT sensor data and deep learning techniques.- Time Series Deep Learning Models to Predict and Analyze Air Quality Index of Indian Cities.- vKavach: A Real-Time Attack Resilient Malware Detector in Virtualization Environment.- Malware Detection Using Cyber Intelligence.- Framework for Malware Detection in IoT Resource Allocation.- Key Exchange Protocol with (p, q)-Transform using BLAKE3 Hashing.
