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Hudson-Smith Andrew: Cities in the
Metaverse

Cities in the Metaverse

Spatial Computing, Digital Twins, Avatars, Economics and Digital Habitation on the New Frontier

Artificial Intelligence and Machine Learning in Data Science and Analytics

This book highlights the enduring synergy between information technology and decision-making tools, showcasing how advancements in one field drive progress in the other. Featuring the discoveries of esteemed researchers from the International Journal of Information Technology and Decision Making, it provides an insightful exploration of foundational concepts and cutting-edge techniques.This review volume opens with a broad overview of fundamental concepts like the Analytic Hierarchy Process (AHP) and Threat-Oriented Person Screening Integrated System, (TOPSIS) across the past decades. Subsequent chapters explore how theoretical advances find practical application in diverse fields.In this book, techniques from fuzzy logic find usage in uncertainty modelling, followed by the use of feature selection and recommendation in machine learning. The use of advanced optimization techniques for applications in price forecasting and the Internet of Things (IoT) are also covered. Additionally, the work presents novel methods under a neutrosophic environment as well as global and local importance used for multi-criteria decision-making. The prolific research presented helps to expand the repertoire of approaches to tackle problems in business strategy, healthcare and public policy.This comprehensive resource is an essential reference for practitioners and researchers seeking to expand their expertise in decision-making and technology-driven solutions.

Innovative Approaches To Decision Making: Bridging It And Decision Science

World Scientific Series On The Built Environment

Urban Management is about managing cities in uncertain times. The book covers the urbanization process, the urban challenges, the benefits of cities, and the scope of urban management. The latter includes urban planning, capital investment programs, local economic development, housing, urban service delivery, public utilities, social services, general urban services, transport, and asset management. This book focuses on the general principles of urban management, particularly in developing countries. It uses the CSGG framework -- institutional capacity, scope of urban management, goals of urban management, and governance -- for urban management.In this second edition, the chapters have been reorganized, revised, and expanded to include many case studies. There are new chapters on capital investment programs and asset management. The latter contains many topics on asset management, including strategic asset management, asset-light business models, maintenance principles and technologies, and the use of more recent technologies such as drones, Lidar, and satellite radar systems to monitor asset conditions and respond to emergencies.The book will be of interest to practitioners and students in the built environment, including mayors, urban managers, urban planners, developers, lenders, insurers, architects, engineers, project managers, and other consultants, contractors, and suppliers.

Urban Management: Managing Cities In Uncertain Times

Resistance in the Age of Artificial Intelligence

Algorithmic Capital

Life Cycle Driven Structures

Embedded System and GUI Development using MATLAB for Engineering Applications

Smart Cities of AI Robots and Autonomous Vehicles: The Vision for 2030 explores the transformative potential and challenges of integrating AI-powered robots and autonomous vehicles in urban landscapes, envisioning a futuristic smart city landscape by 2030. It examines how artificial intelligence (AI) robots and self-driving cars will transform daily life, healthcare, education, industry, agriculture, and transportation.

Cities in the Metaverse

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