Publicado por LAP LAMBERT Academic Publishing Mär 2024, 2024
ISBN 10: 6207473094 ISBN 13: 9786207473090
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 43,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book delves into the transformative world of data-driven approaches in civil engineering, showcasing how leveraging big data, predictive analytics, and machine learning can revolutionize the field. It covers a range of topics from infrastructure monitoring, construction optimization, and environmental assessments to urban planning, elucidating how these technologies foster smarter, sustainable, and more efficient engineering practices. Through real-world success stories, the book highlights the significant benefits of these approaches, such as enhanced decision-making, improved resource allocation, and advanced predictive maintenance, while also addressing the challenges like scalability and adaptability. It serves as a comprehensive guide for civil engineers, urban planners, and professionals in related fields, aiming to equip them with the knowledge and tools to implement data-driven strategies in their projects and contribute to the future of civil engineering.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473094 ISBN 13: 9786207473090
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
EUR 39,40
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Data-driven Approaches in Civil Engineering Predictions | Rupesh Kumar Tipu | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207473090 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473094 ISBN 13: 9786207473090
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 94,69
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Publicado por LAP LAMBERT Academic Publishing Mrz 2024, 2024
ISBN 10: 6207473094 ISBN 13: 9786207473090
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 43,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.
Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6207473094 ISBN 13: 9786207473090
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 37,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book delves into the transformative world of data-driven approaches in civil engineering, showcasing how leveraging big data, predictive analytics, and machine learning can revolutionize the field. It covers a range of topics from infrastructure monito.
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473094 ISBN 13: 9786207473090
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 44,59
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book delves into the transformative world of data-driven approaches in civil engineering, showcasing how leveraging big data, predictive analytics, and machine learning can revolutionize the field. It covers a range of topics from infrastructure monitoring, construction optimization, and environmental assessments to urban planning, elucidating how these technologies foster smarter, sustainable, and more efficient engineering practices. Through real-world success stories, the book highlights the significant benefits of these approaches, such as enhanced decision-making, improved resource allocation, and advanced predictive maintenance, while also addressing the challenges like scalability and adaptability. It serves as a comprehensive guide for civil engineers, urban planners, and professionals in related fields, aiming to equip them with the knowledge and tools to implement data-driven strategies in their projects and contribute to the future of civil engineering.