Computational Tools for Sustainable Industrial Transformation

This book discusses how computational tools are revolutionizing sustainable industrial transformation. By integrating advanced technologies such as big data analytics, machine learning, digital twins, and IoT, this volume provides a comprehensive guide to optimizing industrial processes for enhanced...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Sabry, Ahmad H. (Editor), Sulaiman, Nasri (Editor), Kadhim, Bashra (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Science for Sustainable Societies,
Témata:
On-line přístup:https://doi.org/10.1007/978-981-95-0500-5
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Obsah:
  • Chapter 1. Advanced AI and Digital Twin Solutions: WOA, BERT, ST-GCN, PSO- Enhanced IoT Cybersecurity and Transformation
  • Chapter 2. AI-Powered Blockchain and IoT Frameworks: Integrating DAG, LPWAN, SPNs, PSNR, and ECC for Smart Environmental Solutions
  • Chapter 3. AI-Powered Multi-Scale Analysis of Urban Green Spaces Using OBIA, LULC Mapping, and Ecosystem Valuation for Human Settlement Sustainability
  • Chapter 4. Industrial Robotics in Smart Manufacturing: Integrating PLM, AMRs, GNNs, CPS, and Energy-Efficient Systems
  • Chapter 5. Revolutionizing Industrial Automation: Blockchain-IoT Convergence with Secure Data Sharing and Real-Time Monitoring for Smart Systems
  • Chapter 6. Revolutionizing Urban Development in Smart Cities with Advanced Digital Twins: Integrating IoT, Multi-Model Simulations, and Geospatial Analytics
  • Chapter 7. Running Industrial Workflow Applications in a Software-Defined Multi-Cloud Environment Using Neural Networks, MAS, PSO, MILP, and Game-Theoretic Models for Green Energy-Aware Scheduling
  • Chapter 8. Transforming Urban Landscapes with AI: Utilizing Reforestation Drones, Ocean Cleanup Robotics, Predictive Climate Modelling, and Green Infrastructure to Build Resilient and Sustainable Cities of Tomorrow.