Smart Computing Techniques in Industrial IoT
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 appli...
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| Autor Corporativo: | |
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| Outros autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Series: | Studies in Computational Intelligence,
1172 |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-981-97-7494-4 |
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Table 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.