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Can I read The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance on EtoBox?

The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance by R. Anandan, Suseendran Gopalakrishnan, Souvik Pal, Noor Zaman is a nonfiction available to read on EtoBox.

What is The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance about?

INDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of te

Who reads The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
R. Anandan, Suseendran Gopalakrishnan, Souvik Pal, Noor Zaman
Publisher
John Wiley & Sons, Incorporated
Published
2022
Language
EN
ISBN
9781119769026
Category
nonfiction
Subjects
Computer Science, Engineering, Mechanical Engineering & Dynamics

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