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Full Description
This book presents new theories and working models in the areas of data analytics and learning. The papers included in this book were presented at the third International Conference on Data Analytics and Learning (DAL 2024), which was organized by MGM's College of Engineering Nanded, Maharashtra, India in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.
Contents
Impact the accuracy of AQI predications using Human-AI teaming.- Predicting Stroke Risk: A Machine Learning Approach.- Vehicle Recognition System for Intelligent Traffic System using Feed-Forward Neural Network Techniques.- Optimized Pothole Detection with a Fine-Tuned YOLOv8 Model and Depth Estimation on Indian Roadways using monocular vision method.- Detection of DDOS Attacks in IoT Based Smart Home Networks using ML Algorithms.- Improved Brain Tumor Detection Using an Enhanced VGG-19 Model with Modified Stochastic Gradient Descent Optimizer.- Radial Pulse Pattern Recognition Using Deep Learning.- Full Paper: Improved LinkNet model with Statistical and Deep Feature Extractors for Breast Cancer Detection with Mammogram Image.- Algorithmic Simplicity: A Step Towards Intelligent Analysis.- Leveraging Big Data Analytics in Biomedical Informatics for Early Disease Detection and Personalized Treatment Plans to Improve Health Outcomes and Reduce Healthcare Costs.- AI-based neurological disease detection for early diagnosis.- Innovation In Indian Sign Language For Deaf And Dumb Individual Using Deep Learning.- Segmentation of Dermatoscopic images using wavelet Transform.- LBP features in cattle age estimation: Optimized Feature Engineering Pipeline.- Shape-aware thoracic edge map chest x-ray representation for pulmonary abnormality screening.- Retrieval of Kannada vachanas based on philosophical meaning using machine learning.- Advancing Text-to-Video Models: A study of Schedulers and Learning Techniques in Video Synthesis.- Enhancing Signature Detection from Scanned Documents Using Hybrid Detection Model and Post Processing.- Enhancing Indian Traffic Sign Detection Efficiency with Iterative Training Techniques and Augmentation.- Analysis of Explainable AI Techniques in a Computer Vision-based Maritime Surveillance System.- Adaptive Localization Strategies for Underwater WSNs: The PSO-AUV Hybrid Model.- A Hybrid Transformer Model for Robust Multimodal Emotion Recognition Using Audio and Text Data.- MIVT: Medical-Informed Vision Transformer for Early Epilepsy Diagnosis.
