Data-driven Approaches in Civil Engineering Predictions - KUMAR TIPU, RUPESH
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Assistant Professor in Civil Engineering with a focus on structural optimization and ML in concrete design. Holds B.Tech, M.Tech, and a Ph.D., with more than 20 published research papers and a decade of teaching experience. Currently enhancing structural design and education at K.R. Mangalam University, India.