Handbook Of Research On Applications Of Ai Digital Twin And Internet Of Things For Sustainable Development
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Handbook Of Research On Applications Of Ai Digital Twin And Internet Of Things For Sustainable Development
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2023-02-17
Handbook Of Research On Applications Of Ai Digital Twin And Internet Of Things For Sustainable Development written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Computers categories.
The rapid growth and capability of artificial intelligence, digital twin, and the internet of things are unlocking incredible opportunities to overcome some of the greatest environmental and social impact challenges currently facing the global community, such as feeding a growing population, safety, affordable housing, and environmental sustainability. The Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development provides an interdisciplinary platform encompassing research on the potential opportunities and risks of reaching sustainable development using artificial intelligence, digital twin, and the internet of things. Covering key topics such as big data, environmental protection, and smart cities, this major reference work is ideal for computer scientists, industry professionals, researchers, scholars, academicians, librarians, policymakers, practitioners, educators, and students.
Handbook Of Research On Network Enabled Iot Applications For Smart City Services
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Author : Reddy, K. Hemant Kumar
language : en
Publisher: IGI Global
Release Date : 2023-09-26
Handbook Of Research On Network Enabled Iot Applications For Smart City Services written by Reddy, K. Hemant Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Political Science categories.
The rapid growth of IoT and its applications in smart cities pose significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) presents a single point of failure, hindering network performance, while IoT devices themselves are susceptible to attacks, compromising user data and privacy. To address these pressing issues, Network-Enabled IoT Applications for Smart City Services offers a compelling solution. Edited by Dr. K. Hemant Kumar Reddy, Dr. Diptendu SinhaRoy, and Tapas Mishra, this book advocates leveraging SDN to handle high-frequency data streams effectively. It also proposes the integration of blockchain technology to enhance security and reliability in IoT applications, offering a roadmap for scholars to improve network efficiency, security, and reliability in IoT and smart city domains. With their extensive expertise, the authors provide academic scholars with a comprehensive and innovative resource that inspires further research and development in this evolving field, enabling them to make significant contributions to the advancement of IoT and smart city technologies.
Digital Twins For Smart Metabolic Circular Cities
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Author : Simon Elias Bibri
language : en
Publisher: Elsevier
Release Date : 2025-05-29
Digital Twins For Smart Metabolic Circular Cities written by Simon Elias Bibri and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Social Science categories.
Digital Twins for Smart Metabolic Circular Cities: Innovations in Planning and Climate Resilience explores the advanced convergence of smart city technologies, digital twin applications, smart urban metabolism, and circular economy principles. This comprehensive resource offers insights into sustainable urban practices and innovative approaches to address the multifaceted challenges posed by rapid urbanization, environmental degradation, and climate change. In a rapidly changing world, this book provides a detailed understanding of how digital twin technologies and smart urban metabolism frameworks can be applied to foster sustainable urban development. This holistic perspective bridges urban planning, environmental sustainability, and the transformative potential of digital twins.The book equips readers with practical insights and solutions to navigate contemporary urban development complexities. It is an invaluable resource for urban planners, environmental scientists, policymakers, and technology experts interested in sustainable practices. Through real-world applications, foundational theory, and forward-thinking strategies, it empowers readers with the knowledge to address pressing environmental and infrastructural challenges associated with the future of smart cities. - Utilizes practical insights and case studies to demonstrate the application of digital twins, geospatial mapping tools, and smart urban metabolism frameworks in real-world scenarios - Offers a comprehensive understanding of the potential benefits and challenges associated with the integration of digital twin and circular metabolism platforms, aiding informed decision-making for sustainable policies - Focuses on circular economy principles, providing actionable strategies for minimizing waste, optimizing resource usage, and fostering sustainable practices
Handbook Of Research On Ai And Machine Learning Applications In Customer Support And Analytics
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Author : Hossain, Md Shamim
language : en
Publisher: IGI Global
Release Date : 2023-05-02
Handbook Of Research On Ai And Machine Learning Applications In Customer Support And Analytics written by Hossain, Md Shamim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-02 with Computers categories.
In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand than ever, especially for customer support and analytics. The Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics investigates the applications of AI and ML and how they can be implemented to enhance customer support and analytics at various levels of organizations. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, deep learning, customer sentiment analysis, data mining, neural networks, and business analytics.
Handbook Of Industrial And Business Applications With Digital Twins
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Author : Saravanan Krishnan
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Handbook Of Industrial And Business Applications With Digital Twins written by Saravanan Krishnan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
A digital twin represents the indistinguishable digital counterpart of the physical object to simulate, monitor and test with real time synchronization. This book presents the framework and important key aspects of digital twins, including various technologies with coverage of the digital twins in various industry and business applications. It provides a background of modeling and simulation, computer sensor technology and other areas required creating the next wave of digital twins. Features: Presents exclusive material on industrial and business applications of digital twins Includes diversified digital twin applications with use cases Focuses on tools and methods for digital twins, platforms, application domains and industries Emphasizes advances and cutting-edge technologies throughout Reviews artificial intelligence (AI), fog/edge computing, industrial automation, blockchains and the Internet of Things (IoT) This book is aimed at researchers and graduate students in cloud computing, simulation, the IoT and computer engineering.
Sustainable Iot And Data Analytics Enabled Machine Learning Techniques And Applications
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Author : V. Ajantha Devi
language : en
Publisher: Springer Nature
Release Date : 2024-09-27
Sustainable Iot And Data Analytics Enabled Machine Learning Techniques And Applications written by V. Ajantha Devi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Science categories.
This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.
Handbook Of Research On Ai And Knowledge Engineering For Real Time Business Intelligence
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Author : Hiran, Kamal Kant
language : en
Publisher: IGI Global
Release Date : 2023-04-04
Handbook Of Research On Ai And Knowledge Engineering For Real Time Business Intelligence written by Hiran, Kamal Kant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-04 with Business & Economics categories.
Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.
Ai Approaches To Smart And Sustainable Power Systems
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Author : Ashok Kumar, L.
language : en
Publisher: IGI Global
Release Date : 2024-03-25
Ai Approaches To Smart And Sustainable Power Systems written by Ashok Kumar, L. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Technology & Engineering categories.
Today, the global power demand relies on a delicate balance between conventional and renewable energy systems, necessitating both efficient power generation and the effective utilization of these energy resources through appropriate energy storage solutions. Integrating microgrid systems into the utility grid has become a critical facet of modern power systems. The intermittent and unpredictable nature of these energy sources poses a formidable challenge for academic scholars and researchers. This compels them to explore under-investigated areas, including energy source estimation, storage elements, load pattern prediction, coordination among distributed sources, and the development of energy management algorithms for precise and efficient control. AI Approaches to Smart and Sustainable Power Systems tackles these issues using cutting-edge AI techniques. It examines the most effective methods to optimize voltage, frequency, power, fault diagnosis, component health, and overall power system quality and reliability. AI empowers predictive and preventive maintenance for a sustainable energy future. The book focuses on emerging research areas, including renewable energy, power flow calculations, demand scheduling, real-time performance validation, and AI integration into modern power systems, accompanied by insightful case studies.
Developing Smart Sustainability With Artificial Intelligence
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Author : Singh, Bhupinder
language : en
Publisher: IGI Global
Release Date : 2025-01-02
Developing Smart Sustainability With Artificial Intelligence written by Singh, Bhupinder and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications. Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more.
Ai Applications For Clean Energy And Sustainability
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Author : Riswandi, Budi Agus
language : en
Publisher: IGI Global
Release Date : 2024-08-16
Ai Applications For Clean Energy And Sustainability written by Riswandi, Budi Agus and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-16 with Technology & Engineering categories.
The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.