Ai Smart Enabled Architecture And Infrastructure For Higher Education


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AI Smart-Enabled Architecture and Infrastructure for Higher Education


AI Smart-Enabled Architecture and Infrastructure for Higher Education

Author: van Wyk, Micheal M.

language: en

Publisher: IGI Global

Release Date: 2025-07-03


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Artificial intelligence (AI) transforms the landscape of higher education, creating smart-enabled architecture and infrastructure that redefines how campuses operate and evolve. By integrating AI technologies into the physical and digital frameworks of universities, institutions can create more adaptive, efficient, and student-centered environments. From intelligent energy management systems and predictive maintenance in campus buildings to AI-powered learning platforms and data-driven administrative tools, it enhances both operational performance and academic delivery. As higher education faces growing demands for innovation, sustainability, and personalized experiences, AI-enabled architecture and infrastructure may shape future campuses. AI Smart-Enabled Architecture and Infrastructure for Higher Education explores the integration of intelligent technologies into higher education organizations. It explores how AI and machine learning can provide tools to reduce digital divides and address issues of educational disparity through inclusion and equity. This book covers topics such as education infrastructure, sustainability, and digital technology, and is a useful resource for computer engineers, business owners, educators, academicians, researchers, and scientists.

IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety


IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety

Author: Theodoros Anagnostopoulos

language: en

Publisher: John Wiley & Sons

Release Date: 2022-09-23


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IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety Enables readers to understand a broad area of state-of-the-art research in physical IoT-enabled security IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety describes new techniques in unobtrusive surveillance that enable people to act and communicate freely, while at the same time protecting them from malevolent behavior. It begins by characterizing the latest on surveillance systems deployed at smart campuses, miniatures of smart cities with more demanding frameworks that enable learning, social interaction, and creativity, and by performing a comparative assessment in the area of unobtrusive surveillance systems for smart campuses. A proposed taxonomy for IoT-enabled smart campus unfolds in five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology. By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, the book presents the state of the art and then makes a comparative assessment to classify the systems. Finally, the book extracts valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by unobtrusive surveillance systems for smart campuses. IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety includes specific discussion of: Smart campus’s prior work taxonomies and classifications, a proposed taxonomy, and an adopted weight scoring model Personal consumer benefits and potential social dilemmas encountered when adopting an unobtrusive surveillance system Systems that focus on smart buildings, public spaces, smart lighting and smart traffic lights, smart labs, and smart campus ambient intelligence A case study of a spatiotemporal authentication unobtrusive surveillance system for smart campus safety and emerging issues for further research directions IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety is an essential resource for computer science and engineering academics, professionals, and every individual who is working and doing research in the area of unobtrusive surveillance systems and physical security to face malevolent behavior in smart campuses.

Artificial Intelligence and Industry in Society 5.0


Artificial Intelligence and Industry in Society 5.0

Author: Nitin Liladhar Rane

language: en

Publisher: Deep Science Publishing

Release Date: 2024-10-13


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The past few years have seen artificial intelligence (AI) acting as a force that has been changing industries, societies and also the educational landscape. The objective of this book is to present a holistic view of the different sectors being affected by AI and to list some of the challenges or opportunities that have arisen as part of this fast-moving area. The opening chapter is on the ethically fraught domain of AI technologies such as ChatGPT in educational contexts, noting new frontiers for cheating and suggesting ways that its integrity can be protected during this next industrial push of technological change. Even as AI tools grow in common use, educational institutions must grapple with these complexities to maintain notions of fair play and knowledge building. Further chapters move beyond AI in education to how it can be used as a broad lever for smart and sustainable campuses, cities, and infrastructure. The text in Chapter two centers on the way artificial intelligence (machine learning and deep learning) can steer more insightful urban planning, resource management and development that is sustainable. Chapter three presents a wider coverage of AI applications, including the concept of digital twins in different sectors-healthcare, finance and agriculture-as examples on how digital replicas improve productivity and innovation across various industries under Industry 4.0; 5.0 and Society 5.0. Chater four and five moves to the regulatory issues regarding AI. They talk about the importance of strong policies and the technological, economic, and regulatory obstacles holding back AI from realizing its promise in helping industries become smarter and more sustainable. The book also wraps up with a reflective commentary which presents the real-world applications of AI, future directions and potential research topics in AI, thereby providing readers some suggestions about where we could go regarding the development of AI in the next few years. This is the series of chapters that will show you how transformational AI can be; we hope it awakens the imagination and motivates people to conduct research and innovation in this exciting sector.