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Smart computing techniques in indust...

Chowdhary, Chiranji Lal.

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Smart computing techniques in industrial IoT

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart computing techniques in industrial IoT/ edited by Chiranji Lal Chowdhary, Asis Kumar Tripathy, Yulei Wu.
其他作者:	Chowdhary, Chiranji Lal.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xii, 218 p. :ill. (some col.), digital ;24 cm.
內容註:	CIRSH: Building Critical Infrastructure model and Real-Time applications towards sustainable goals in Smart and Secured Healthcare systems using IIoT -- Blockchain And IOT Integration For Financial Sector Revolution -- Neural Networks for Cloud-Based Industrial Internet of Things -- Deep Learning approach towards Green IIOT -- Deep Learning Approach towards Green IIOT -- Introduction to Industrial IoT and Smart Computing Techniques -- Optimization of IIoT Wireless Communications using Interference Analysis -- Green Industrial Internet of Things: An Extensive Survey on Recycling Strategies for Greener Future of Industrial Operations -- AI-based Cybersecurity opportunities & issues on IIoT -- Sustainable and smart healthcare based IIoT tools -- Contribution of Python to Improving Efficiency in Artificial Intelligence and Advancing Automation Capabilities -- Industry 4.0: The Role of Industrial IoT, Big Data, AR/VR, and Blockchain in the Digital Transformation.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Industrial applications. -
電子資源:	https://doi.org/10.1007/978-981-97-7494-4
ISBN:	9789819774944

Smart computing techniques in industrial IoT
Smart computing techniques in industrial IoT[electronic resource] /edited by Chiranji Lal Chowdhary, Asis Kumar Tripathy, Yulei Wu. - Singapore :Springer Nature Singapore :2025. - xii, 218 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11721860-9503 ;. - Studies in computational intelligence ;v. 1172..

CIRSH: Building Critical Infrastructure model and Real-Time applications towards sustainable goals in Smart and Secured Healthcare systems using IIoT -- Blockchain And IOT Integration For Financial Sector Revolution -- Neural Networks for Cloud-Based Industrial Internet of Things -- Deep Learning approach towards Green IIOT -- Deep Learning Approach towards Green IIOT -- Introduction to Industrial IoT and Smart Computing Techniques -- Optimization of IIoT Wireless Communications using Interference Analysis -- Green Industrial Internet of Things: An Extensive Survey on Recycling Strategies for Greener Future of Industrial Operations -- AI-based Cybersecurity opportunities & issues on IIoT -- Sustainable and smart healthcare based IIoT tools -- Contribution of Python to Improving Efficiency in Artificial Intelligence and Advancing Automation Capabilities -- Industry 4.0: The Role of Industrial IoT, Big Data, AR/VR, and Blockchain in the Digital Transformation.

The book provides a conceptual framework and roadmap for applications and research trends in Smart Computing Techniques in Industrial IoT. This volume aims to provide information on emerging fields of intelligent computing techniques with a particular emphasis on industrial IoT development and applications of artificial intelligence, deep learning techniques, computational intelligence methods, the Internet of Medical Things (IoMT), optimization techniques, blockchain, and cloud computing. It will be a useful guide for undergraduate and postgraduate students studying artificial intelligence, deep learning, industry 4.0, industry 5.0, smart cities, machine learning, deep learning computational intelligence, and edge/cloud computing.

ISBN: 9789819774944

Standard No.: 10.1007/978-981-97-7494-4doiSubjects--Topical Terms:

653318
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78

Dewey Class. No.: 670.28563

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520 $a The book provides a conceptual framework and roadmap for applications and research trends in Smart Computing Techniques in Industrial IoT. This volume aims to provide information on emerging fields of intelligent computing techniques with a particular emphasis on industrial IoT development and applications of artificial intelligence, deep learning techniques, computational intelligence methods, the Internet of Medical Things (IoMT), optimization techniques, blockchain, and cloud computing. It will be a useful guide for undergraduate and postgraduate students studying artificial intelligence, deep learning, industry 4.0, industry 5.0, smart cities, machine learning, deep learning computational intelligence, and edge/cloud computing.
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