Metaverse Driven Intelligent Information Systems


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Metaverse Driven Intelligent Information Systems


Metaverse Driven Intelligent Information Systems

Author: Sandeep Kautish

language: en

Publisher: Springer Nature

Release Date: 2024-11-29


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The Metaverse has revolutionized the landscape of designing and implementing modern information systems by introducing a new dimension of connectivity and interaction. Information systems, traditionally confined to desktop applications and web platforms, have now expanded into immersive virtual spaces, blurring the lines between the physical and digital worlds. This shift has led to the integration of real-time data sharing, collaboration, and communication within the Metaverse, enhancing user experiences and data accessibility. Metaverse driven Intelligent Information Systems embodies knowledge based behavior which enables them to act intelligently and interact with end users & other systems in the process of solving variety of problems i.e. classification, retrieval, discovery and manipulation of hidden patterns and useful insights of data which leads to decision making process. IIS also deals with fetching, classifying, retrieving, and storing multimedia data for creating intelligent visual user interfaces for enhanced user experiences. This book presents fresh ideas and latest advances in the field of Intelligent Information Systems powered by Metaverse and related applications in the different areas i.e. optimization of complex systems, medical diagnosis, robotics and automation, and time series predictions. The proposed book is intended for readers i.e. researchers and professors in the field of computer science working on various new directions and aspects of intelligent information systems and machine intelligence. Distinguished Features of the proposed book – State-of-art documentation of Metaverse driven Intelligent Information Systems and their applications right from beginner level to advanced level. Excellent reference material for academic scientists, researcher and research scholars working in modern information systems domain. This book will showcase the recent innovations, trends, and concerns as well as applied challenges encountered and solutions adopted in the fields of Metaverse and Information Systems design and development.

Digital Twin Driven Intelligent Systems and Emerging Metaverse


Digital Twin Driven Intelligent Systems and Emerging Metaverse

Author: Enis Karaarslan

language: en

Publisher: Springer Nature

Release Date: 2023-04-08


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This book covers the notion of the digital twin, which has the potential to alter the way systems are governed and manufactured. It also addresses the metaverse as an emerging technology with its roots in literature, cross-platform avatars, and artificial intelligence-oriented cybersecurity issues. The untapped potential of the metaverse and digital twins as enabling technologies for the next-generation industries is emphasized in various chapters. Digital twin technology enables manufacturers to comprehend their products throughout product design better, integrate simulation, tracking, and optimization in real-time, and appropriately analyze operations. Especially for complicated products or systems, testing on a digital twin is more efficient (more accessible, quicker, less error-prone, and less expensive). The product is examined in its virtual version before it is displayed in the actual world. Additionally, the digital twin minimizes operational expenses and increases the longevity of equipment and assets. By prolonging the life of the thing, they represent and enhance its working efficiency; it may minimize operating costs and prospective capital spending. The digital twin idea is becoming a reality as it has begun to be used in several industries, including energy, manufacturing, construction, transportation, aerospace, smart cities, healthcare, cyber security, finance, and agriculture. Academic and industrial experts highlighted the most compelling use cases of digital twins and metaverses and the challenges inherent in their implementation. Readers who want to make more effective systems will find the book useful. Also, people who want to get an idea and vision of how technology will change our lives will benefit from this book.

AI-Driven Policing and Urban Security in Smart Cities


AI-Driven Policing and Urban Security in Smart Cities

Author: Abdelmottlep, Mamdooh Abdelhameed

language: en

Publisher: IGI Global

Release Date: 2025-06-24


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As cities increasingly adopt smart technologies to enhance public services, AI has emerged as a transformative force in urban security. AI systems like predictive analytics and real-time surveillance have reshaped how law enforcement monitors and responds to crime. This integration of AI into policing practices promises improved efficiency, faster response times, and data-informed decision-making. However, it also raises important ethical, legal, and privacy concerns that must be addressed to ensure equitable and transparent implementation. AI-Driven Policing and Urban Security in Smart Cities explores the way AI has transformed the way police have monitored crime. This book explores research with AI systems in law and government. Covering topics such as AI, policing, and government, this book is an excellent resource for law enforcement, city planners, policymakers, researchers, academicians, and more.