Smart Computing Techniques in Industrial IoT
Series: Studies in Computational Intelligence; 1172;
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Product details:
- Edition number 2024
- Publisher Springer Nature Singapore
- Date of Publication 20 October 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819774937
- Binding Hardback
- No. of pages218 pages
- Size 235x155 mm
- Language English
- Illustrations XII, 218 p. 61 illus., 50 illus. in color. Illustrations, black & white 605
Categories
Long description:
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.
MoreTable of Contents:
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.
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