Da: Majestic Books, Hounslow, Regno Unito
EUR 187,24
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 191,02
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 9.25x7.50x7.51 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 215,54
Quantità: 3 disponibili
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10: 0443300100 ISBN 13: 9780443300103
Da: CitiRetail, Stevenage, Regno Unito
EUR 188,38
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine Learning and Artificial Intelligence in Toxicology and Environmental Health introduces the fundamental concepts and principles of machine learning and AI, providing clear explanations on applying these methods to toxicology and environmental health. The book delves into predictions of chemical ADMET properties, development of PBPK and QSAR models, toxicogenomic analysis, and the evaluation of high-throughput in vitro assays. It aims to guide readers in adapting machine learning and AI techniques to various research problems within these fields. Additionally, the text explores ecotoxicology assessment, impacts of air pollution, climate change, food safety, and chemical risk assessment.It includes case studies, hands-on computer exercises, and example codes, making it a comprehensive resource for researchers, academics, students, and industry professionals. The book highlights how AI can enhance risk assessment, predict environmental hazards, and speed up the identification of harmful substances. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
ISBN 10: 0443300100 ISBN 13: 9780443300103
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 165,86
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.