This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed.
This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice.
This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net) and Internet of Things (IoT) era. The book presents the latest advances and research into heterogeneous networks in critical IoT applications.
This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems.
This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the... Læs mere
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine... Læs mere
This book presents a step by step design approach to develop and implement an IoT system starting from sensor, interfacing to embedded processor, wireless... Læs mere