This book provides a comprehensive overview of advanced digital disruptive technologies that can be used or currently used in Construction, and Smart Infrastructures. It provides a holistic collection of such disruptive technologies to address issues or otherwise uplift the technological aspects of various aspects of human lives and projects, impacting the overall culture and society sustainability. These pertinent technologies explored in this book are Artificial Intelligence (AI), Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs), Clouds, and Big Data. It is expected that the book will unify the fields of construction and project management through the integration AI frameworks provided in various chapters.

The Book targets a novel research area in smart infrastructures management It explores smart transportation, healthcare, and environments in Intelligent Cities It showcases the fast-paced advancements in AI and IoT technology and research

Autorentext

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the advisor to the chairman of the board of trustees on AI and informatics at Near East University (NEU), Nicosia, and the associate dean for research at the faculty of engineering in the same university. Prof. Al-Turjman is the head of Artificial Intelligence (AI), Information Systems, and Software Engineering Departments, and the director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 600 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 50 books about AI, cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as IEEE, Taylor and Francis, Elsevier, IET, and Springer. Prof. Al-Turjman has led a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.

Inhalt

AIoT in Construction: Concepts and Frameworks.- AIoT in Smart Infrastructures: A Review.- SWOT analysis of Safety Practices to Improve Safety Performance in Construction Projects using AIoT.- Monitoring Large Project Portfolios using advanced technologies.- Construction compensation management using advanced technologies.- Risk management as a tool for Sustainability in construction.- Controlling time and cost delays in the construction industry using digital technologies.- Managing construction projects through the Agile method and advanced technologies.- Centralized information management through BIM: A system for managing construction time extension claims.- Green buildings development through AIoT.- Towards Digital technology utilization for Emerging Construction Industry 4.0.- Automated construction safety management using smart IoT.- Barriers on Industrialised Building System Implementation in China.- Fuzzy decision making and decision support systems for Intelligent infrastructure.- Smart cities and Connected Environments.- Architecture for Multisensor Fusion and Integrationfor Infrastructures Monitoring.- Artificial Intelligence and Blockchain: The Future of Constructions.- Evolving IoT and Green IoT in Agriculture Infrastructures Perspective.- Applications of Internet of Things (IoT)in Green Computing.- AIIoT for Development of Test Standards for Agricultural Technology.- Automated Methods for the Detection of Green Land in Satellite Images.- Artificial Cyber Espionage Based Protection of Technological Enabled Automated Cities Infrastructure by Dark Web Cyber Offender.- Usage of GAN.- Dense Neural Network for Super-Resolution.