Industrial Internet of Things (IIoT). Группа авторов

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      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

       Advances in Learning Analytics for Intelligent Cloud-IoT Systems

       Series Editors: Dr. Souvik Pal and Dr. Dac-Nhuong Le

      Scope: The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of Cloud-IoT Systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision making algorithms in IoT Devices. IoT based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of Analytics Reasoning and Sense-making in Big Data, which is centered in the Cloud and IoT-enabled environments.

      The series seeks volumes that are empirical studies, theoretical and numerical analysis, and novel research findings. The series encourages cross-fertilization of highlighting research and knowledge of Data Analytics, Machine Learning, Data Science, and IoT sustainable developments.

      Please send proposals to:

      Dr. Souvik Pal

      Department of Computer Science & Engineering

      Sister Nivedita University

      (Techno India Group)

      Kolkata, India

      [email protected]

      Dr. Dac-Nhuong Le

      Faculty of Information Technology, Haiphong University, Haiphong, Vietnam [email protected]

      Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])

      The Industrial Internet of Things (IIoT)

      Intelligent Analytics for Predictive Maintenance

      Edited by

      R. Anandan

      Suseendran Gopalakrishnan

      Souvik Pal

       and

      Noor Zaman

      This edition first published 2022 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing СКАЧАТЬ