Machine Learning And The City
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Machine Learning And The City
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Author : Silvio Carta
language : en
Publisher: John Wiley & Sons
Release Date : 2022-06-07
Machine Learning And The City written by Silvio Carta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-07 with Architecture categories.
Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments Practical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.
Machine Learning And The City
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Author : Silvio Carta
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-17
Machine Learning And The City written by Silvio Carta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Architecture categories.
Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments Practical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.
Machine Learning And The City
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Author : Silvio Carta
language : en
Publisher: Wiley-Blackwell
Release Date : 2022-06-07
Machine Learning And The City written by Silvio Carta and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-07 with Architecture categories.
Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments Practical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.
Artificial Intelligence In Urban Planning And Design
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Author : Imdat As
language : en
Publisher: Elsevier
Release Date : 2022-05-14
Artificial Intelligence In Urban Planning And Design written by Imdat As and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-14 with Political Science categories.
Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. - Includes a cutting-edge catalogue of AI tools applied to smart city design and planning - Provides case studies from around the globe at various scales - Includes diagrams and graphics for course instruction
Artificial Intelligence And Machine Learning In Smart City Planning
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Author : Vedik Basetti
language : en
Publisher: Elsevier
Release Date : 2023-01-11
Artificial Intelligence And Machine Learning In Smart City Planning written by Vedik Basetti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-11 with Science categories.
Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. - Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities - Explains soft computing techniques for smart city applications - Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm - Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences
Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities
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Author : Panos M. Pardalos
language : en
Publisher: Springer Nature
Release Date : 2022-01-09
Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities written by Panos M. Pardalos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-09 with Mathematics categories.
This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.
Recent Advances In Internet Of Things And Machine Learning
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Author : Valentina E. Balas
language : en
Publisher: Springer Nature
Release Date : 2022-02-14
Recent Advances In Internet Of Things And Machine Learning written by Valentina E. Balas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.
This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher: CRC Press
Release Date : 2024-12-18
Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
From Bioinspired Systems And Biomedical Applications To Machine Learning
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Author : José Manuel Ferrández Vicente
language : en
Publisher: Springer
Release Date : 2019-05-09
From Bioinspired Systems And Biomedical Applications To Machine Learning written by José Manuel Ferrández Vicente and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-09 with Computers categories.
The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions to engineering problems in different applications domains, as biomedical systems, or big data solutions.
The Ai City
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Author : Siegfried Zhiqiang WU
language : en
Publisher: Springer Nature
Release Date : 2025-05-29
The Ai City written by Siegfried Zhiqiang WU and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Architecture categories.
This open access book presents the concept of AI Cites for the first time. It includes the theoretical basis, development frontier, and different application scenarios of artificial intelligence cities. The book is accompanied by rich practical cases to conduct in-depth and detailed discussions on the proposition of artificial intelligence cities. It fills the gap between artificial intelligence and urban planning. This book points out the urgent human needs in the city for AI scientists to considered in the next round of AI technology development. It also provides new ideas for urban planners and researchers to solve problems with new technologies.