Harnessing Automation and Machine Learning for Resource Recovery and Value Creation : From Waste to Value / Sadasivuni (Editor).
Material type:
Text Elsevier 2025Description: 530 pages : color illustrationsContent type: text Media type: unmediated Carrier type: volumeISBN: 9780443273742Subject(s): Machine learningDDC classification: 006.3/1 LOC classification: Q325.5 .H37 2025
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Main Library | Q325.5 .H37 2025 (Browse shelf (Opens below)) | Available | 51952000223139 | |
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Female Library | Q325.5 .H37 2025 (Browse shelf (Opens below)) | Available | 51952000223122 |
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| Q325.5 .D45 2020 Mathematics for machine learning / | Q325.5 .D45 2020 Mathematics for machine learning / | Q325.5 .H37 2025 Harnessing Automation and Machine Learning for Resource Recovery and Value Creation : From Waste to Value / | Q325.5 .H37 2025 Harnessing Automation and Machine Learning for Resource Recovery and Value Creation : From Waste to Value / | Q325.5 .K454 2019 Deep learning / | Q325.5 .K454 2019 Deep learning / | Q325.5 .K454 2019 Deep learning / |
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.
Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practices
Offers a comprehensive understanding of how waste management can be transformed into a profitable business by adopting innovative and sustainable solutions
Offers an opportunity to explore case studies from different industries and regions to showcase the revolutionary applications of automation and machine learning in waste management
Provides guidance for waste management professionals, policymakers, and business leaders to optimize waste management processes and improve their bottom line

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