Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence [Hardcover]

1. Machine Learning Techniques for Accurate Prediction and Detection of Chronic Diseases? 2. A Novel Approach to Multimedia Malware Detection using Bi-LSTM and Attention Mechanisms? 3. Exploring Machine Learning Applications for Enhancing Security and Privacy in Multimedia IoT: A Comprehensive Review? 4. Advanced Machine Learning Strategies for Road Object Detection in Multimedia Environments? 5. A Multimedia-Driven Machine Learning Approach for Mastitis Detection in Dairy Cattle? 6. Music Genre Classification using Long Short-Term Memory (LSTM) Networks: Analyzing Audio Spectrograms for Enhanced Multimedia Understanding? 7. Deep Learning-Based Image Recognition for Autonomous Vehicles: Enhancing Safety and Efficiency? 8. Identification of Heart Disease Risk in Early Ages with Bagging Techniques? 9. EEG-based Emotion Recognition using SVM Classifier? 10. Mortality Prediction of Neonatal due to Jaundice Using Machine Learning? 11. ML Techniques Implementation for Heart Prediction in Healthcare? 12. Analyzing the Performance of ML Classification Algorithms for Stroke Prediction

This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses?case studies and examples to discuss?the potential of machine learning in the realm of multimedia.

This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.

Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unvlC÷