Table of Contents:
  • Chapter 1. A study on AI-ML-driven optimizing energy distribution and sustainable agriculture for environmental conservation
  • Chapter 2. AI-integrated biosensors and bioelectronics for agriculture
  • Chapter 3. Machine learning and deep learning solutions for green computing
  • Chapter 4. Machine learning-integrated sustainable engineering and energy systems: innovations at the nexus
  • Chapter 5. The impact of AI on sustainability
  • Chapter 6. Applications of blockchain in building marketing framework: approach to environmental sustainability
  • Chapter 7. Internet of things framework for sustainable agriculture in smart farming
  • Chapter 8. Circular economy digital practices for ethical dimensions and policies for digital waste management
  • Chapter 9. Applications of machine learning techniques for achieving financial sustainability
  • Chapter 10. Sustainable practices for green computing and digital e-waste management
  • Chapter 11. Next generation materials for sustainable development
  • Chapter 12. Leveraging high-performance computing and artificial intelligence in climate modeling and prediction
  • Chapter 13. Energy optimization and smart grids: IoT-based smart grid solution and smart grids applications
  • Chapter 14. Cloud computing adoption for small and medium enterprises in engineering and environmental aspects
  • Chapter 15. Assessment of water quality using multi-layered mamdani fuzzy inference expert system.