CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure PDF Download
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Author: Cuong Ha-Minh
Publisher: Springer Nature
ISBN: 9811671605
Category : Science
Languages : en
Pages : 1861
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Book Description
This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.
Author: Cuong Ha-Minh
Publisher: Springer Nature
ISBN: 9811671605
Category : Science
Languages : en
Pages : 1861
Get Book Here
Book Description
This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.
Author: J. N. Reddy
Publisher: Springer Nature
ISBN: 9819974348
Category : Architecture
Languages : en
Pages : 1973
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Book Description
This book includes articles from the Third International Conference on Sustainable Civil Engineering and Architecture (ICSSEA 2023), held at Da Nang City, Vietnam, on July 19-21, 2023. The conference brings together international experts from both academia and industry to share their knowledge and expertise, facilitate collaboration, and improve cooperation in the field. The book focuses on the most recent developments in sustainable architecture and civil engineering, including offshore structures, structural engineering, building materials, and architecture.
Author: Angalaeswari, S.
Publisher: IGI Global
ISBN: 1668488183
Category : Technology & Engineering
Languages : en
Pages : 308
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Book Description
Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required. AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Joaquín Bautista-Valhondo
Publisher: Springer Nature
ISBN: 3031579968
Category :
Languages : en
Pages : 540
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Book Description
Author: Cuong Ha-Minh
Publisher: Springer Nature
ISBN: 9819719720
Category :
Languages : en
Pages : 1604
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Book Description
Author: Rabindra Nath Shaw
Publisher: Springer Nature
ISBN: 3031250885
Category : Computers
Languages : en
Pages : 810
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Book Description
This book constitutes selected papers presented at the First International Conference on Advanced Communication and Intelligent Systems, ICACIS 2022, held as a virtual event in October 2022. The 69 papers were thoroughly reviewed and selected from the 258 subissions. The book focuses on current development in the fields of communication and intelligent systems.
Author: Rama Devi Nandineni
Publisher: Springer Nature
ISBN: 981998811X
Category :
Languages : en
Pages : 1135
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Book Description
Author: Osman Gencel
Publisher: Springer Nature
ISBN: 9819962331
Category : Technology & Engineering
Languages : en
Pages : 646
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Book Description
This book presents the select proceedings of International Conference on Civil Engineering: Innovative Development in Engineering Advances (ICC IDEA 2023). This book covers the latest research in the areas of construction engineering and management, urban planning and design, building energy conservation and green architecture, materials science and engineering, innovation in construction materials, and information technology in civil engineering. The book is useful for researchers and professionals in civil engineering.
Author: Manmohan Dass Goel
Publisher: Springer Nature
ISBN: 9819766036
Category :
Languages : en
Pages : 590
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Book Description
Author: S. Smys
Publisher: Springer Nature
ISBN: 9811998191
Category : Technology & Engineering
Languages : en
Pages : 819
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Book Description
This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.
