Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 3659940607 ISBN 13: 9783659940606
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. AI-Driven Software Engineering | Harnessing Machine Learning for Smarter Development and Automation | Vinod Veeramachaneni | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9783659940606 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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In den WarenkorbZustand: New. Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practicesOffers a comprehensive understanding of how waste management can be transformed int.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division Mai 2025, 2025
ISBN 10: 044327374X ISBN 13: 9780443273742
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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.