Intelligent Systems and Industrial Internet of Things for Sustainable Development
Book Details
Format
Paperback / Softback
ISBN-10
1032642777
ISBN-13
9781032642772
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 25th, 2025
Print length
318 Pages
Weight
610 grams
Product Classification:
Development studiesDevelopment studiesAutomatic control engineeringDigital and information technologies: Legal aspectsLegal aspects of ITSupercomputersComputer programming / software developmentComputer programming / software engineeringComputer securityComputer architecture & logic designComputer architecture and logic designArtificial intelligenceArtificial intelligence (AI)
Ksh 10,150.00
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The book studies emerging and sustaining technologies for applications of Industry 5.0 to develop technological solutions to address numerous real-life challenges to solve sustainable development-related issues.
The book studies emerging and sustaining technologies for applications of Industry 5.0 to develop technological solutions to address numerous real-life challenges to solve sustainable development-related issues. It identifies limitations, pitfalls, and open research questions in industry 5.0, discusses real-time problems, and challenges with equivalent solutions with a focus on sustainable growth to develop, humanization and environmentally friendly intelligent system applications. It analyses applications enabled by Industry 5.0 such as healthcare, supply chain, smart framing, remote sensing, production in manufacturing, and cloud manufacturing. It also includes the difficulties and problems posed by the organization between robots and humans on the assembly line to maintain sustainability. Addresses key challenges in implementing intelligent systems in IoT-based applications, including issues ranging from cost and energy efficiency to availability and quality of serviceExplores the technologies to allow human-machine association and its impact on consumption and sustainabilityProvides sustainable solutions to emerging industrial problems, especially in healthcare, manufacturing, remote sensing, environmental engineeringExamines need for data pre-processing, classification & prediction, Cluster Analysis, Mining Multimedia, Text, and Web Data, Advanced machine learning techniques for scientific programming in IndustryPresents success stories in the form of case studies of IIoT, IIoRT, Big Data, Intelligent Systems, Deep Learning in Industry 5.0 eraThe text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology, especially for professionals and researchers interested in the technological side of sustainable development.
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