Bücher der Reihe Intelligent Systems and Technologies

Devices like sensors, Internet-of-things (IoT), and Radio frequency identification (RFID) generate enormous amounts of data. The machines are a part of several environments. The information is collected forms a large database. The collection investigates to gain better insight into the current status of the sensed entity or environment. The knowledge set aims to improve the system. It helps to obtain good profit and makes future predictions. Several metrics are used to conduct the examination.The book discusses the technology architecture, usage, and evaluation using various metrics. The different algorithms used in the functioning of the contribution are summarized. The writing also suggests the future scope of the work in diverse applications.For more details, please visit https://centralwestpublishing.com

The book's goal is to provide a premier interdisciplinary platform for leading academic scientists, industry peers, research fellows, and students to share the most up-to-date research and information on recent innovations, practical challenges, and solutions in the fields of electrical, electronics, mechanical, computer, and communication engineering. Quality research will support future advancements in a variety of engineering and technology areas. The book will facilitate worldwide collaborations by offering networking possibilities, developing appropriate solutions for a variety of applications and contemporary technology, and assisting in the creation of sustainable development solutions. The Advances in Computing, Electrical, Electronics, and Communication Sector Book Series seeks to publish research on a variety of engineering and technology-related subjects. The disciplines of computer, electronics, mechanical, communication, and electrical engineering include a wide variety of interdisciplinary subjects, allowing for multidisciplinary study. As many disciplines have become an essential part of daily life, research in these areas continues to grow and become more vital. This book may be helpful for both students and academics due to the wide variety of subjects addressed.For more details, please visit https://centralwestpublishing.com

This book provides a systematic approach for the design of secure systems and the implementation of a security and privacy program for the Smart Grid and DERs. The focus is on the aspects of building blocks to engineer the security of the Smart Grid, DERs, and systems. The book includes methodology guidelines and a knowledge base to apply analysis and risk management methods to identify the appropriate solutions to ensure and meet the security needs of Smart Grid, DERs and systems. Besides describing on how to apply methods and models to support security problem for the power grid as the most complex system, the book discusses Smart Grid implementation challenges and how to address ethics and security awareness to meet the Smart Grid stakeholders' needs. Also, the book describes how to blend Systems Engineering and Systems Security Engineering techniques with standards and best security practices. For more details, please visit https://centralwestpublishing.com

In recent years, there has been an unprecedented growth in research publications on methods for profound learners, which demonstrate theunavoidable generality of deep learning while proposing any recommender system. The structure of the book demonstrates the impact of deep learning on recommender systems. The chapters of the book can be assembled into two categories:The omnipresence of deep learning in specific domains of recommender system: These chapters address deep learning techniques in recommender systems, including recommendation with deep learning techniques in content-based systems (Chapter 3), recommendation with deep learning techniques in collaborative systems (Chapter 4), recommendation with deep learning techniques in the hybrid system (Chapter 5), recommendation in context-aware systems (Chapter 6), and combination of social network & trust-aware recommender system with deep learning (Chapter 7).Advancement and application of deep recommender system: Chapter 8 is primarily aimed at providing the readers with basic ideas and principles driving trends in recent years. Although all the recent innovations cannot be addressed in depth in a single book, the content in the closing chapter of the book is intended to perform the role of "ice-breaking" in advanced topics. The chapter further discusses other application scenarios using recommendations technologies, such as news recommendation, and computational advertising.Since this book is ostensibly written as a textbook, it is understood that a significant part of the audience will be industry experts and scholars. Thus, effort has been made to compose the book content in such a way that it is always valuable from an applicable and research point of view.For more details, please visit https://centralwestpublishing.com