Secure And Intelligent Iot Enabled Smart Cities
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Secure And Intelligent Iot Enabled Smart Cities
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Author : Singh, Sushil Kumar
language : en
Publisher: IGI Global
Release Date : 2024-04-01
Secure And Intelligent Iot Enabled Smart Cities written by Singh, Sushil 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 2024-04-01 with Political Science categories.
Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.
Secure And Intelligent Iot Enabled Smart Cities
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Author : Sushil Kumar Singh
language : en
Publisher:
Release Date : 2024-04
Secure And Intelligent Iot Enabled Smart Cities written by Sushil Kumar Singh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04 with Computers categories.
Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans
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Author : S., Balasubramaniam
language : en
Publisher: IGI Global
Release Date : 2025-03-28
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans written by S., Balasubramaniam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Medical categories.
AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists.
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises
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Author : Abhishek Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises written by Abhishek Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.
Maintaining A Sustainable World In The Nexus Of Environmental Science And Ai
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Author : Singh, Bhupinder
language : en
Publisher: IGI Global
Release Date : 2024-08-27
Maintaining A Sustainable World In The Nexus Of Environmental Science And Ai 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 2024-08-27 with Business & Economics categories.
The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.
Non Fungible Tokens Nfts In Smart Cities Advancements And Security Challenges
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Author : Khalil, Usman
language : en
Publisher: IGI Global
Release Date : 2025-07-28
Non Fungible Tokens Nfts In Smart Cities Advancements And Security Challenges written by Khalil, Usman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Computers categories.
The overarching aim of smart city architecture is to harmonize real-time response applications, but the complex cyber-physical environment introduces security challenges that could potentially compromise the data of individuals, systems, and processes. Although numerous centralized and decentralized architectural approaches have emerged to support the realization of smart cities, persistent concerns center around issues such as digital ownership of IoT assets, traceability, scalability, security services, platform compatibility, and resource management. Non-fungible tokens (NFTs) represent a shift in ownership and trade perception in the digital world. While NFTs are renowned for representing unique and non-interchangeable data units on a digital ledger, their potential to digitize IoT assets in the cyber-physical systems of smart cities remains underdeveloped. Non-Fungible Tokens (NFTs) in Smart Cities: Advancements and Security Challenges examines NFT-based mechanisms by introducing new attributes and functions to define assets which results in the identification of the IoT assets in the cyber-physical systems (CPSs) for smart cities. Additionally, it dives into NFTs and their broader applications. Covering topics such as decentralized principles, urban connectivity, and deepfakes, this book is an excellent resource for technology developers, computer engineers, urban planners, policymakers, professionals, researchers, scholars, academicians, and more.
Optimized Energy Management Strategies For Electric Vehicles
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Author : Jain, Parita
language : en
Publisher: IGI Global
Release Date : 2024-12-18
Optimized Energy Management Strategies For Electric Vehicles written by Jain, Parita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Technology & Engineering categories.
As electric vehicle (EV) usage increases worldwide, optimized energy management strategies become crucial for EV efficiency, range, and performance. These strategies cover a variety of techniques, including advanced battery management systems, smart charging solutions, and real-time energy consumption analytics, all aimed at enhancing the driving experience while minimizing environmental impact. By utilizing data-driven insights and innovative technologies, like machine learning and grid integration, these strategies enable EVs to operate efficiently, extend battery life, and reduce charging costs. Developing and implementing effective energy management strategies is essential for individual vehicle performance as well as the sustainable growth of electric mobility. Optimized Energy Management Strategies for Electric Vehicles delves into the intricate landscape of energy management in electric vehicles (EVs), offering a comprehensive exploration of cutting-edge methodologies and technologies. From advanced algorithms to real-time data analytics, this book presents a rigorous examination of the most efficient and intelligent solutions for optimizing energy consumption and enhancing overall performance in EVs. This book covers topics such as electrical engineering, automotive engineering, and sustainability, and is a useful resource for automotive engineers, electrical engineers, policymakers, urban planners, business owners, academicians, scientists, and researchers.
Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning
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Author : Goel, Pawan Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-22
Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning written by Goel, Pawan 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 2024-08-22 with Business & Economics categories.
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.
Next Generation Therapeutics Using Internet Of Things And Machine Learning
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Author : Shuaib, Mohammed
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Next Generation Therapeutics Using Internet Of Things And Machine Learning written by Shuaib, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.
The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In environmental management, IoT and ML contribute to sustainable solutions by tracking air and water quality, predicting pollution trends, and optimizing resource usage. Their application in decentralized health records and chronic disease management streamlines operations, reduces costs, and empowers individuals with greater control over their health. As these technologies continue to evolve, they hold immense potential to create smarter, more resilient healthcare and environmental systems. Next-Generation Therapeutics Using Internet of Things and Machine Learning provides a comprehensive framework for understanding and implementing IoT and ML in healthcare and environmental monitoring. By exploring practical applications, this book delves into how these technologies are reshaping diagnostics, patient care, operational efficiencies, and environmental sustainability. Covering topics such as artificial intelligence (AI), medical data exchange, and sustainability, this book is an excellent resource for researchers, practitioners, students, and more.
Modern Insights On Smart And Secure Software Development
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Author : Abu Al-Haija, Qasem
language : en
Publisher: IGI Global
Release Date : 2025-04-29
Modern Insights On Smart And Secure Software Development written by Abu Al-Haija, Qasem and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.
The integration of emerging technologies, such as artificial intelligence (AI), machine learning (ML), and blockchain, in software development enhance the potential of software systems. For organizations, this can impact the efficiency of processes, automating their systems and increasing their cyber resilience. As a result, they have the ability to revolutionize healthcare systems, security systems, communication systems, and more. These emerging technologies, thus, may improve human-computer interaction and enhance information security for users. Modern Insights on Smart and Secure Software Development provides some best practices for creating intelligent and secure software applications. It explores the latest methodologies, tools, and techniques for integrating smart features and robust security measures into software projects. Covering topics such as vulnerability management, regression test selection approaches, and deep neural networks (DNNs), this book is an excellent resource for software developers, cybersecurity professionals, computer engineers, professionals, researchers, scholars, academicians, and more.