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Taschenbuch. Condition: Neu. Predictive Modeling in Civil Engineering: An Introduction | Rupesh Kumar Tipu (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207472895 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Predictive Modeling in Civil Engineering: An Introduction delves into the integration of predictive modeling with civil engineering, offering a comprehensive guide on leveraging statistical techniques and machine learning to enhance decision-making, optim.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Predictive Modeling in Civil Engineering: An Introduction' delves into the integration of predictive modeling with civil engineering, offering a comprehensive guide on leveraging statistical techniques and machine learning to enhance decision-making, optimize performance, and innovate infrastructure development. It covers foundational concepts, practical applications, and future directions, including detailed discussions on model development, validation, and real-world case studies showcasing predictive modeling's transformative impact on the field. The book aims to equip professionals and students with the knowledge to apply predictive analytics effectively, ensuring more resilient, efficient, and sustainable engineering solutions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207472896 ISBN 13: 9786207472895
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Predictive Modeling in Civil Engineering: An Introduction' delves into the integration of predictive modeling with civil engineering, offering a comprehensive guide on leveraging statistical techniques and machine learning to enhance decision-making, optimize performance, and innovate infrastructure development. It covers foundational concepts, practical applications, and future directions, including detailed discussions on model development, validation, and real-world case studies showcasing predictive modeling's transformative impact on the field. The book aims to equip professionals and students with the knowledge to apply predictive analytics effectively, ensuring more resilient, efficient, and sustainable engineering solutions.