Explainable Iot Applications A Demystification
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Explainable Iot Applications A Demystification
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Author : Sachi Nandan Mohanty
language : en
Publisher: Springer Nature
Release Date : 2025-02-13
Explainable Iot Applications A Demystification written by Sachi Nandan Mohanty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.
Explainable IoT Application: A Demystification is an in-depth guide that examines the intersection of the Internet of Things (IoT) with AI and Machine Learning, focusing on the crucial need for transparency and interpretability in IoT systems. As IoT devices become more integrated into daily life, from smart homes to industrial automation, it is increasingly important to understand and trust the decisions they make. The book starts by covering the basics of IoT, highlighting its importance in modern technology and its wide-ranging applications in fields such as healthcare, transportation, and smart cities. It then delves into the concept of explainability, stressing the need to prevent IoT systems from being perceived as opaque, black-box operations. The authors explore various techniques and methods for achieving explainability, including rule-based systems and machine learning models, while also addressing the challenge of balancing explainability with performance. Through practical examples, the book shows how explainability can be successfully implemented in IoT applications, such as in smart healthcare systems. Furthermore, the book addresses the significant challenges of securing IoT systems in an increasingly connected world. It examines the unique vulnerabilities that come with the widespread use of IoT devices, such as data breaches, cyberattacks, and privacy issues, and discusses the complexities of managing these risks. The authors emphasize the importance of implementing security strategies that strike a balance between fostering innovations and protecting user data. The book concludes with a comprehensive exploration of the challenges and opportunities in making IoT systems more transparent and interpretable, offering valuable insights for researchers, developers, and decision-makers aiming to create IoT applications that are both trustworthy and understandable.
Explainable Machine Learning For Multimedia Based Healthcare Applications
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Author : M. Shamim Hossain
language : en
Publisher: Springer Nature
Release Date : 2023-09-08
Explainable Machine Learning For Multimedia Based Healthcare Applications written by M. Shamim Hossain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-08 with Computers categories.
This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.
Handbook Of Research On Ai Equipped Iot Applications In High Tech Agriculture
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2023-08-02
Handbook Of Research On Ai Equipped Iot Applications In High Tech Agriculture written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-02 with Technology & Engineering categories.
The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, Advanced Technologies and AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem. The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the concepts of real-time supporting systems to help agricultural producers adjust plans or schedules for taking care of their farms. Additionally, it discusses the role of IoT technologies and AI applications in agricultural ecosystems and their potential to improve product quality and market competitiveness. The book includes discussions on the application of blockchain, biotechnology, drones, robotics, data analytics, and visualization in high-tech agriculture. It is an essential reference for anyone interested in the future of high-tech agriculture, including agricultural analysts, investment analysts, scholars, researchers, academics, professionals, engineers, and students.
Explainable Artificial Intelligence For Biomedical And Healthcare Applications
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Author : Aditya Khamparia
language : en
Publisher: CRC Press
Release Date : 2024-10-09
Explainable Artificial Intelligence For Biomedical And Healthcare Applications written by Aditya Khamparia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Technology & Engineering categories.
This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors. The text discusses medical robotic systems using XAI and physical devices having autonomous behaviors for medical operations. It explores the usage of XAI for analyzing different types of unique data sets for medical image analysis, medical image registration, medical data synthesis, and information discovery. It covers important topics including XAI for biometric security, genomics, and medical disease diagnosis. This book: • Provides an excellent foundation for the core concepts and principles of explainable AI in biomedical and healthcare applications. • Covers explainable AI for robotics and autonomous systems. • Discusses usage of explainable AI in medical image analysis, medical image registration, and medical data synthesis. • Examines biometrics security-assisted applications and their integration using explainable AI. The text will be useful for graduate students, professionals, and academic researchers in diverse areas such as electrical engineering, electronics and communication engineering, biomedical engineering, and computer science.
Demystifying Federated Learning For Blockchain And Industrial Internet Of Things
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Author : Kautish, Sandeep
language : en
Publisher: IGI Global
Release Date : 2022-06-17
Demystifying Federated Learning For Blockchain And Industrial Internet Of Things written by Kautish, Sandeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-17 with Computers categories.
In recent years, mobile technology and the internet of objects have been used in mobile networks to meet new technical demands. Emerging needs have centered on data storage, computation, and low latency management in potentially smart cities, transport, smart grids, and a wide number of sustainable environments. Federated learning’s contributions include an effective framework to improve network security in heterogeneous industrial internet of things (IIoT) environments. Demystifying Federated Learning for Blockchain and Industrial Internet of Things rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. It provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication. Covering topics such as smart agriculture, object identification, and educational big data, this premier reference source is an essential resource for computer scientists, programmers, government officials, business leaders and managers, students and faculty of higher education, researchers, and academicians.
Demystifying Emerging Trends In Green Technology
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Author : Pankaj Kumar Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-02-18
Demystifying Emerging Trends In Green Technology written by Pankaj Kumar Mishra and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.
Demystifying Emerging Trends in Green Technology explores the transformative intersection of computational intelligence, disruptive technologies, and green innovations. This volume offers insights into diverse fields such as blockchain, IoT, artificial intelligence, machine learning, and sustainable development. Each chapter presents cutting-edge research and practical solutions addressing environmental sustainability, energy efficiency, and eco-friendly technologies. With contributions from leading researchers, this book discusses advancements like blockchain-based security, green marketing, smart waste management, sustainable agriculture, and innovative healthcare solutions. It emphasizes the role of interdisciplinary approaches in driving a greener and smarter future. Key Features: - Integration of AI, IoT, and blockchain in sustainable systems - Applications in healthcare, agriculture, energy, and environmental science - Practical and innovative solutions for real-world challenges - Insights into future trends in green technology and disruptive innovation.
Demystifying Internet Of Things Security
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Author : Sunil Cheruvu
language : en
Publisher: Apress
Release Date : 2019-08-13
Demystifying Internet Of Things Security written by Sunil Cheruvu and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Computers categories.
Break down the misconceptions of the Internet of Things by examining the different security building blocks available in Intel Architecture (IA) based IoT platforms. This open access book reviews the threat pyramid, secure boot, chain of trust, and the SW stack leading up to defense-in-depth. The IoT presents unique challenges in implementing security and Intel has both CPU and Isolated Security Engine capabilities to simplify it. This book explores the challenges to secure these devices to make them immune to different threats originating from within and outside the network. The requirements and robustness rules to protect the assets vary greatly and there is no single blanket solution approach to implement security. Demystifying Internet of Things Security provides clarity to industry professionals and provides and overview of different security solutions What You'll Learn Secure devices, immunizing them against different threats originating from inside and outside the network Gather an overview of the different security building blocks available in Intel Architecture (IA) based IoT platforms Understand the threat pyramid, secure boot, chain of trust, and the software stack leading up to defense-in-depth Who This Book Is For Strategists, developers, architects, and managers in the embedded and Internet of Things (IoT) space trying to understand and implement the security in the IoT devices/platforms.
Machine Learning And Iot Applications For Health Informatics
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Author : Pijush Samui
language : en
Publisher: CRC Press
Release Date : 2024-10-31
Machine Learning And Iot Applications For Health Informatics written by Pijush Samui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.
This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics.
Iot Architectures Models And Platforms For Smart City Applications
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Author : Chowdhry, Bhawani Shankar
language : en
Publisher: IGI Global
Release Date : 2019-12-27
Iot Architectures Models And Platforms For Smart City Applications written by Chowdhry, Bhawani Shankar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Computers categories.
Developing countries are persistently looking for efficient and cost-effective methods for transforming their communities into smart cities. Unfortunately, energy crises have increased in these regions due to a lack of awareness and proper utilization of technological methods. These communities must explore and implement innovative solutions in order to enhance citizen enrollment, quality of government, and city intelligence. IoT Architectures, Models, and Platforms for Smart City Applications provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. This publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies. Featuring coverage on a broad range of topics such as cloud computing, human machine interface, and ad hoc networks, this book is ideally designed for urban planners, engineers, IT specialists, computer engineering students, research scientists, academicians, technology developers, policymakers, researchers, and designers seeking current research on smart applications within urban development.
Demystifying Digital Transformation
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Author : Nishith Sharan,Tushar Khosla
language : en
Publisher: Notion Press
Release Date : 2019-01-03
Demystifying Digital Transformation written by Nishith Sharan,Tushar Khosla and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-03 with Business & Economics categories.
Digital transformation is inevitable, for organisations who seek to remain relevant in the future. The objective of any digital transformation is to innovatively apply the technology stack to reinvent the organisation and the way in which it will engage with the customer to deliver value to them. Given that each organisation has a unique DNA with distinctive aspirations, the digital journey need to be individually crafted with clear purpose, technology choices, and implementation specifics. Leaders will be called upon to take well-informed and deliberative decisions that have enormous implications and could very well define the future of the organisation. This book provides the necessary framework to assist leaders define their transformation agenda and execution specifics. Authors present an integrated approach, covering technological, strategic and organisational perspectives, while pointing out the decisions that need to be considered at various milestones during the digital transformation journey. This is an essential handbook for the industry leaders and transformation professionals as they embark on the digital transformation journey.