Intelligent Systems Reference Library

Springer, 2020. — 165 p. — (Intelligent Systems Reference Library 176). — ISBN: 978-3-030-45799-0 (eBook). This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students...

Springer, 2020. — 477 p. — (Intelligent Systems Reference Library. Volume 163). — ISBN: 978-9811387586. This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as...