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This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including... Læs mere
The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes, Informatics involved by applying the data, information and knowledge in the healthcare domain.
The book provides the key technologies involved in an organization’s digital transformation. It offers a deep... Læs mere
This book is designed as a reference text and discusses inter-dependability, communication... Læs mere
This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their... Læs mere
This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm.
Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind... Læs mere
The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT... Læs mere
This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies... Læs mere
This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.