Machine Learning for Construction Projects: A Comprehensive Guide is a book that provides a comprehensive overview of machine learning in the construction industry. Aimed at professionals in construction, engineering, architecture, and project management, the book explores applications of machine learning in various aspects of construction, such as project management, quality control, safety, sustainability, and risk management. The book begins by introducing the basic concepts and terminology of machine learning. It describes how machine learning algorithms work and how they can be applied to construction projects. The book then explores specific machine learning applications for construction projects, including predicting project costs and schedules, optimizing construction workflows, detecting defects and errors, improving safety, and enhancing project sustainability. The latter half of the book delves into case studies that demonstrate how machine learning has been successfully applied in construction projects.
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S.Balakrishnan est professeur à l'Institut de technologie Aarupadai Veedu, Vinayaka Missions Research Foundation, Chennai.K. Venkatesan est professeur adjoint et M. Muthulakshmi est professeur adjoint (Sr. Gr.) à l'Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai Campus.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine Learning for Construction Projects: A Comprehensive Guide is a book that provides a comprehensive overview of machine learning in the construction industry. Aimed at professionals in construction, engineering, architecture, and project management, t. Bestandsnummer des Verkäufers 1656236201
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Taschenbuch. Zustand: Neu. Neuware -Machine Learning for Construction Projects: A Comprehensive Guide is a book that provides a comprehensive overview of machine learning in the construction industry. Aimed at professionals in construction, engineering, architecture, and project management, the book explores applications of machine learning in various aspects of construction, such as project management, quality control, safety, sustainability, and risk management. The book begins by introducing the basic concepts and terminology of machine learning. It describes how machine learning algorithms work and how they can be applied to construction projects. The book then explores specific machine learning applications for construction projects, including predicting project costs and schedules, optimizing construction workflows, detecting defects and errors, improving safety, and enhancing project sustainability. The latter half of the book delves into case studies that demonstrate how machine learning has been successfully applied in construction projects.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Bestandsnummer des Verkäufers 9786207485925
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Taschenbuch. Zustand: Neu. Machine Learning for Construction Projects: A Comprehensive Guide | Machine Learning, Construction Project | Balakrishnan Subramanian (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207485925 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 129183464
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Construction Projects: A Comprehensive Guide is a book that provides a comprehensive overview of machine learning in the construction industry. Aimed at professionals in construction, engineering, architecture, and project management, the book explores applications of machine learning in various aspects of construction, such as project management, quality control, safety, sustainability, and risk management. The book begins by introducing the basic concepts and terminology of machine learning. It describes how machine learning algorithms work and how they can be applied to construction projects. The book then explores specific machine learning applications for construction projects, including predicting project costs and schedules, optimizing construction workflows, detecting defects and errors, improving safety, and enhancing project sustainability. The latter half of the book delves into case studies that demonstrate how machine learning has been successfully applied in construction projects. Bestandsnummer des Verkäufers 9786207485925
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