Modeling and Optimization of Signals Using Machine Learning Techniques

Chandra Singh, Rathishchandra R. Gatti, K.V.S.S.S.S. Sairam, Manjunatha Badiger, Naveen Kumar S., Varun Saxena

• Publisher: Wiley-Scrivener
• Year: 2024
• Print ISBN: 9781119847687
• eBook ISBN: 9781119847694
• Edition: 1
• Topic: Computer Science
• Subtopic: Information Technology
• Index: Computer Science

Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing.

Modeling and Optimization of Signals using Machine Learning Techniques is designed for researchers from academia, industries, and R&D organizations worldwide who are passionate about advancing machine learning methods, signal processing theory, data mining, artificial intelligence, and optimization. This book addresses the role of machine learning in transforming vast signal databases from sensor networks, internet services, and communication systems into actionable decision systems. It explores the development of computational solutions and novel models to handle complex real-world signals such as speech, music, biomedical data, and multimedia.

Through comprehensive coverage of cutting-edge techniques, this book equips readers with the tools to automate signal processing and analysis, ultimately enhancing the retrieval of valuable information from extensive data storage systems. By providing both theoretical insights and practical guidance, the book serves as a comprehensive resource for researchers, engineers, and practitioners aiming to harness the power of machine learning in signal processing.

Whether for the veteran engineer, scientist in the lab, student, or faculty, this groundbreaking new volume is a valuable resource for researchers and other industry professionals interested in the intersection of technology and agriculture.

Table of contents

• Cover
• Table of Contents
• Series Page
• Title Page
• Copyright Page
• Preface
• 1 Land Use and Land Cover Mapping of Remotely Sensed Data Using Fuzzy Set Theory-Related Algorithm
• 2 Role of AI in Mortality Prediction in Intensive Care Unit Patients
• 3 A Survey on Malware Detection Using Machine Learning
• 4 EEG Data Analysis for IQ Test Using Machine Learning Approaches: A Survey
• 5 Machine Learning Methods in Radio Frequency and Microwave Domain
• 6 A Survey: Emotion Detection Using Facial Reorganization Using Convolutional Neural Network (CNN) and Viola–Jones Algorithm
• 7 Power Quality Events Classification Using Digital Signal Processing and Machine Learning Techniques
• 8 Hybridization of Artificial Neural Network with Spotted Hyena Optimization (SHO) Algorithm for Heart Disease Detection
• 9 The Role of Artificial Intelligence, Machine Learning, and Deep Learning to Combat the Socio-Economic Impact of the Global COVID-19 Pandemic
• 10 A Review on Smart Bin Management Systems
• 11 Unlocking Machine Learning: 10 Innovative Avenues to Grasp Complex Concepts
• 12 Recognition Attendance System Ensuring COVID-19 Security
• 13 Real-Time Industrial Noise Cancellation for the Extraction of Human Voice
• 14 Machine Learning-Based Water Monitoring System Using IoT
• 15 Design and Modelling of an Automated Driving Inspector Powered by Arduino and Raspberry Pi
• 16 Kalman Filter-Based Seizure Prediction Using Concatenated Serial-Parallel Block Technique
• 17 Current Advancements in Steganography: A Review
• 18 Human Emotion Recognition Intelligence System Using Machine Learning
• 19 Computing in Cognitive Science Using Ensemble Learning
• About the Editors
• Index
• Also of Interest
• End User License Agreement