Advanced Machine Intelligence and Signal Processing

This book explores the latest advancements in machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, and signal processing, with applications in real-world scenarios. It covers feature extraction, SVM, ELM, ANN, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, and signal processing, with applications in real-world scenarios.

Format: Paperback / softback
Length: 876 pages
Publication date: 27 June 2023
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the cutting-edge advancements in various fields, including machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, and signal processing. It explores the latest techniques and applications in these domains, providing a comprehensive understanding of their significance in real-world scenarios.

In the realm of machine learning, the book covers essential topics such as feature extraction, support vector machine (SVM) variants, extreme learning machine (ELM), artificial neural network (ANN), and other areas. It delves into the mathematical analysis of computer vision and pattern recognition, employing geometric techniques to understand scenes, recognize objects, and track their movements. Computational learning theory explores various learning paradigms, including incremental, online, reinforcement, manifold, multitask, and semi-supervised learning, providing insights into the optimization of learning algorithms.

Furthermore, the book delves into the challenges of processing big data analytics and stream processing, integrating smart data computing services and interconnectivity. It also covers the recent developments in network intelligence, analyzing network information to adapt algorithms dynamically for improved efficiency.

In the field of signal processing, the book explores the processing of normal and abnormal categories of real-world signals, including those generated from IoT devices, smart systems, speech, videos, and biomedical signals. It covers electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG) processing, providing valuable insights into the analysis of these signals.

Overall, this book serves as a valuable resource for researchers, professionals, and students interested in advancing their knowledge and skills in these rapidly evolving fields. It provides a comprehensive overview of the latest advancements, techniques, and applications, enabling them to stay ahead of the curve and contribute to the development of innovative solutions.

Dimension: 235 x 155 (mm)
ISBN-13: 9789811908422
Edition number: 1st ed. 2022