Industrial Internet of Things: An Introduction explores the convergence of Io T and machine learning technologies in transforming industries and advancing economic growth. This comprehensive guide examines foundational principles, innovative applications, and real-world case studies that showcase the power of Io T-enabled intelligent systems in enhancing efficiency, sustainability, and adaptability.
The book is structured into five parts. The first part introduces industrial Io T concepts, including algorithms, deep learning prediction models, and smart production techniques. The second section addresses machine learning and collaborative technologies, focusing on artificial neural networks, and AI’s role in healthcare and industrial Io T. Subsequent chapters explore real-world applications, such as Io T adoption in healthcare during COVID-19 and intelligent transportation systems. The final sections address advanced IIo T progressions and the role of Io T in energy production using byproducts.
Key Features:
– Foundational concepts and algorithms for industrial Io T.
– Integration of machine learning in Io T systems.
– Case studies on healthcare, transportation, and sustainability.
– Insights into energy production using Io T.
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