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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

From Waste to Value

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2025
ISBN13: 9780443273742
Rubricering
Elsevier Science e druk, 2025 9780443273742
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Samenvatting

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources. This book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies. It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes. Moreover, this book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management. This book is an indispensable resource for researchers, waste management professionals, and policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future.

Specificaties

ISBN13:9780443273742
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

1. Introduction to innovative Technologies for Waste-to-Energy Conversion using automation and machine learning<br>2. Basics of Machine learning<br>3. Basics of Automation<br>4. Waste classification into plastics, industrial, domestic, and agriculture waste<br>5. Plastics recycling and the automation role in the recycling process<br>6. Artificial intelligence for reutilizing the Plastics<br>7. Handling Metals waste to Salvage with Automation<br>8. Machine learning: A better means for Metal waste to reprocess<br>9. Automation in the recycling of Industrial waste<br>10. Machine learning in Industrial Waste to value added<br>11. Waste to Value Added: Role of automation in Organic waste<br>12. Impact of Artificial Intelligence for the recycling of Organic waste<br>13. Future of Agriculture: Automated vertical farming<br>14. Agriculture: The Next Machine-Learning Frontier<br>15. Recycling robots to tackle electrical waste<br>16. Machine learning for sustainable development in electronics<br>17. Automated Sorting of Recyclable Domestic waste<br>18. Machine learning for recycling domestic waste<br>19. Future aspects of Machine learning/automation for the waste management

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        Harnessing Automation and Machine Learning for Resource Recovery and Value Creation