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  • Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value

    Harnessing Automation and Machine Learning for Resource Recovery and Value Creation by Sadasivuni, Kishor Kumar; Bacanin, Nebojsa; Kim, Jaehwan; Vashisht, Neha B;

    From Waste to Value

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 212.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        88 337 Ft (84 131 Ft + 5% VAT)
      • Discount 20% (cc. 17 667 Ft off)
      • Discounted price 70 670 Ft (67 305 Ft + 5% VAT)

    88 337 Ft

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    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Elsevier Science
    • Date of Publication 21 May 2025

    • ISBN 9780443273742
    • Binding Paperback
    • No. of pages530 pages
    • Size 235x191 mm
    • Weight 450 g
    • Language English
    • 655

    Categories

    Long description:

    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.

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    Table of Contents:

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

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