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Artificial Intelligence in Performance-Driven Design (Paperback)
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
Paperback. Condition: new. Paperback. A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AIs capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. Its also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Artificial Intelligence in Performance-driven Design : Theories, Methods, and Tools
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Artificial Intelligence in Performance-driven Design : Theories, Methods, and Tools
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Artificial Intelligence in Performance-Driven Design - Theories, Methods, and Tools
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Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools
Published by John Wiley & Sons Inc, 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
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Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools
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Artificial Intelligence in Performance-Driven Design (Paperback)
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
£ 61.86
Convert currency£ 27.71 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AIs capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. Its also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools
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ARTIFICIAL INTELLIGENCE IN PERFORMANCE DRIVEN DESIGN THEORIES METHODS AND TOOLS (PB 2024)
Published by JOHN WILEY NP (ORIGINAL), 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
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Artificial Intelligence in Performance-Driven Design (Paperback)
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
£ 62.03
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Add to basketPaperback. Condition: new. Paperback. A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AIs capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. Its also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ARTIFICIAL INTELLIGENCE IN PERFORMANCE DRIVEN DESIGN THEORIES METHODS AND TOOLS (PB 2024)
Published by JOHN WILEY NP (ORIGINAL), 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
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Artificial Intelligence in PerformanceDriven Design Theories, Methods, and Tools
Published by John Wiley & Sons Inc, 2024
ISBN 10: 1394172060 ISBN 13: 9781394172061
Language: English
Paperback. Condition: Brand New. 283 pages. 10.00x7.00x0.75 inches. In Stock.
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£ 84.42
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Add to basketCondition: New. Narjes Abbasabadi, PhD, is an Assistant Professor in the Department of Architecture at the University of Washington. Dr. Abbasabadi also leads the Sustainable Intelligence Lab (SIL). Her research centers on sustainability and computation within the built en.
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Add to basketTaschenbuch. Condition: Neu. Neuware - A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design.
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