Artificial Intelligence Applications for Sustainable Construction

Artificial Intelligence Applications for Sustainable Construction PDF Author: Moncef L. Nehdi
Publisher: Elsevier
ISBN: 0443131929
Category : Technology & Engineering
Languages : en
Pages : 440

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Book Description
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike. - Presents convincing "success stories that encourage application of AI-powered tools to civil engineering - Provides a wealth of valuable technical information to address and resolve many challenging construction problems - Illustrates the most recent shifts in thinking and practice for sustainable construction

Artificial Intelligence Applications for Sustainable Construction

Artificial Intelligence Applications for Sustainable Construction PDF Author: Moncef L. Nehdi
Publisher: Elsevier
ISBN: 0443131929
Category : Technology & Engineering
Languages : en
Pages : 440

Get Book Here

Book Description
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike. - Presents convincing "success stories that encourage application of AI-powered tools to civil engineering - Provides a wealth of valuable technical information to address and resolve many challenging construction problems - Illustrates the most recent shifts in thinking and practice for sustainable construction

Artificial Intelligence in Construction Engineering and Management

Artificial Intelligence in Construction Engineering and Management PDF Author: Limao Zhang
Publisher: Springer Nature
ISBN: 9811628424
Category : Technology & Engineering
Languages : en
Pages : 271

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Book Description
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

Artificial Intelligence and Data Science in Environmental Sensing

Artificial Intelligence and Data Science in Environmental Sensing PDF Author: Mohsen Asadnia
Publisher: Academic Press
ISBN: 0323905072
Category : Computers
Languages : en
Pages : 326

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Book Description
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. - Presents tools, connections and proactive solutions to take sustainability programs to the next level - Offers a practical guide for making students proficient in modern electronic data analysis and graphics - Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery

Artificial Intelligence Applications for Sustainable Construction

Artificial Intelligence Applications for Sustainable Construction PDF Author: Moncef L. Nehdi
Publisher: Elsevier
ISBN: 0443131910
Category : Architecture
Languages : en
Pages : 438

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Book Description
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices too. The present volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike.

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications PDF Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3030519201
Category : Technology & Engineering
Languages : en
Pages : 310

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Book Description
This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation

Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation PDF Author: Bahaaeddin Alareeni
Publisher: Springer Nature
ISBN: 3031674448
Category :
Languages : en
Pages : 564

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Book Description


Data-driven BIM for Energy Efficient Building Design

Data-driven BIM for Energy Efficient Building Design PDF Author: Saeed Banihashemi
Publisher: Taylor & Francis
ISBN: 1000801934
Category : Technology & Engineering
Languages : en
Pages : 187

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Book Description
This research book aims to conceptualise the scale and spectrum of Building Information Modelling (BIM) and Artificial Intelligence (AI) approaches in energy efficient building design and to develop its functional solutions with a focus on four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from theoretical development on the sustainability, informatics and optimisation paradigms in built environment, the energy efficient building design will be marked through the power of data and BIM-intelligent agents during the design phase. It will be further developed via smart derivatives to reach a harmony in the systematic integration of energy efficient building design solutions, a gap that is missed in the extant literature and that this book aims to fill. This approach will inform a vision for future and provide a framework to shape and respond to our built environment and how it transforms the way we design and build. By considering the balance of BIM, AI and energy efficient outcomes, the future development of buildings will be regenerated in a direction that is sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists.

Computational Science and Its Applications – ICCSA 2019

Computational Science and Its Applications – ICCSA 2019 PDF Author: Sanjay Misra
Publisher: Springer
ISBN: 3030242897
Category : Computers
Languages : en
Pages : 865

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Book Description
The six volumes LNCS 11619-11624 constitute the refereed proceedings of the 19th International Conference on Computational Science and Its Applications, ICCSA 2019, held in Saint Petersburg, Russia, in July 2019. The 64 full papers, 10 short papers and 259 workshop papers presented were carefully reviewed and selected form numerous submissions. The 64 full papers are organized in the following five general tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 259 workshop papers were presented at 33 workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as software engineering, security, artificial intelligence and blockchain technologies.

AI and Building Management Systems

AI and Building Management Systems PDF Author: Charles Nehme
Publisher: Charles Nehme
ISBN:
Category : Computers
Languages : en
Pages : 75

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Book Description
Exploring the Boundless Possibilities of Artificial Intelligence and Building Management Systems Welcome to a world where the boundaries between human ingenuity and technological advancement are becoming increasingly blurred. In this era of rapid progress, we find ourselves standing at the forefront of a revolution driven by two powerful forces: Artificial Intelligence (AI) and Building Management Systems (BMS). These two domains, with their distinct yet interwoven capabilities, are reshaping our understanding of what is achievable in the realms of automation, efficiency, and sustainability. Artificial Intelligence, once confined to the realms of science fiction, has emerged as a transformative force that permeates nearly every aspect of our lives. From intelligent personal assistants that anticipate our needs to autonomous vehicles that navigate our cities, AI is revolutionizing the way we interact with technology. Its ability to analyze vast amounts of data, recognize patterns, and learn from experience empowers us to solve complex problems and make informed decisions like never before. Simultaneously, Building Management Systems have emerged as critical enablers of smart infrastructure and sustainable practices. These systems, composed of hardware and software components, orchestrate the functioning of buildings, optimizing energy consumption, improving occupant comfort, and enhancing operational efficiency. BMS leverages sensors, actuators, and data analytics to monitor and control various building systems, such as heating, ventilation, lighting, and security, ensuring seamless integration and intelligent management. The convergence of AI and BMS holds immense promise, offering a synergistic approach to creating intelligent and responsive built environments. By harnessing the power of AI algorithms, BMS can unlock new levels of efficiency and adaptability. Machine learning algorithms can continuously analyze building performance data, identify patterns, and optimize system operations in real-time, leading to reduced energy consumption, lower costs, and improved occupant satisfaction. Moreover, AI-driven BMS solutions have the potential to transform buildings into living ecosystems that actively learn and adapt to the needs of their occupants. Imagine a building that learns the preferences of its inhabitants, adjusting temperature and lighting settings accordingly. Picture an infrastructure that can predict maintenance requirements, preventing system failures and reducing downtime. This new era of intelligent buildings, empowered by AI and BMS, promises to redefine the way we design, construct, and inhabit our living and working spaces. However, as with any transformative technology, the integration of AI and BMS also poses its share of challenges. Ethical considerations regarding data privacy, transparency, and the responsible use of AI algorithms must be at the forefront of our discussions. We must also ensure that these technological advancements are accessible to all, promoting inclusivity and reducing the digital divide. As we embark on this journey, it is crucial to navigate the complexities and uncertainties with a sense of responsibility, constantly evaluating the impact of our decisions on society and the environment. This book serves as a guide, illuminating the intricate relationship between AI and BMS, unveiling their potential and examining their implications. Through a collection of insightful chapters, we delve into the practical applications of AI in building management, explore cutting-edge research, and highlight success stories from across industries. Our aim is to provide a comprehensive overview of the advancements, challenges, and opportunities that lie at the intersection of these two domains. As you embark on this enlightening journey, we invite you to open your mind to the boundless possibilities that AI and BMS offer. Together, let us unlock the potential of intelligent buildings, foster sustainable practices, and shape a future where technology enhances our lives while preserving the very essence of what it means to be human. Charles Nehme

Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate PDF Author: Jing Li
Publisher: Springer Nature
ISBN: 9819936268
Category : Business & Economics
Languages : en
Pages : 1833

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Book Description
This book presents the proceedings of CRIOCM 2022 (27th International Conference on Advancement of Construction Management and Real Estate), sharing the latest developments in real estate and construction management around the globe. The conference was organized by the Chinese Research Institute of Construction Management (CRIOCM) working in close collaboration with The Chinese University of Hong Kong. Written by international academics and professionals, the book discusses the latest achievements, research findings, and advances in frontier disciplines in the field of construction management and real estate. Covering a wide range of topics, including spatial planning and land use innovation, integration and application of BIM and GIS, low-carbon built environment, post-pandemic resilient cities development, housing and social governance, real estate market and urban policy, real estate finance and economics, intelligent construction and smart city, built environment for healthy living, and construction management in the post-COVID-19 era, the discussions provide valuable insights into the implementation of advanced construction project management and real estate market in China and abroad. The book offers an outstanding resource for academics and professionals