Lingua: Inglese
Editore: Elsevier - Health Sciences Division Nov 2022, 2022
ISBN 10: 0323997147 ISBN 13: 9780323997140
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 266,16
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division Mai 2025, 2025
ISBN 10: 0443333211 ISBN 13: 9780443333217
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 281,34
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.
EUR 303,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detaile.