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33 produkter
33 produkter
Inbunden, Engelska, 2022
2 148 kr
Skickas inom 10-15 vardagar
Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge.Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions.Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of ThingsRecent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets
Inbunden, Engelska, 2022
1 803 kr
Skickas inom 10-15 vardagar
Over the next few years, smart city technologies will be rolled out, and the IoT devices and AI-centric systems will provide even more far-reaching connectivity. This book presents various concepts in the design and development of a smart city and methodologies and solutions involved in designing contemporary infrastructure for building smart cities around the world. The book will focus mainly on six areas of smart city infrastructures: smart city entities, IoT-based solutions, AI-centric control systems, smart systems, cybersecurity mechanisms, data science, and cloud computing for the deployment of the smart ecosystem.AI-Centric Smart City Ecosystem: Technologies, Design, and Implementation will discuss the role of AI-centric innovative systems and beyond intelligent solutions in the smart city framework. Readers will discover how to apply design principles and technologies for operating intelligent cities and develop an understanding of how to integrate AI-based control systems to make systems smarter. The book will present various concepts in the design and development of smart cities and methodologies and solutions involved in designing modern infrastructure. Also, readers can discover how to develop applications and connect the IoT devices for collecting and mining real-time data and uncover the challenges and techniques for improving the automatic operation in the smart city by using high-tech solutions.This book is intended to serve the needs of the industry, engineers, professionals, researchers, and master’s and doctoral students studying emerging technologies in smart city ecosystems.
Häftad, Engelska, 2024
725 kr
Skickas inom 10-15 vardagar
Over the next few years, smart city technologies will be rolled out, and the IoT devices and AI-centric systems will provide even more far-reaching connectivity. This book presents various concepts in the design and development of a smart city and methodologies and solutions involved in designing contemporary infrastructure for building smart cities around the world. The book will focus mainly on six areas of smart city infrastructures: smart city entities, IoT-based solutions, AI-centric control systems, smart systems, cybersecurity mechanisms, data science, and cloud computing for the deployment of the smart ecosystem.AI-Centric Smart City Ecosystem: Technologies, Design, and Implementation will discuss the role of AI-centric innovative systems and beyond intelligent solutions in the smart city framework. Readers will discover how to apply design principles and technologies for operating intelligent cities and develop an understanding of how to integrate AI-based control systems to make systems smarter. The book will present various concepts in the design and development of smart cities and methodologies and solutions involved in designing modern infrastructure. Also, readers can discover how to develop applications and connect the IoT devices for collecting and mining real-time data and uncover the challenges and techniques for improving the automatic operation in the smart city by using high-tech solutions.This book is intended to serve the needs of the industry, engineers, professionals, researchers, and master’s and doctoral students studying emerging technologies in smart city ecosystems.
Häftad, Engelska, 2024
781 kr
Skickas inom 10-15 vardagar
Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge.Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions.Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of ThingsRecent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets
Inbunden, Engelska, 2023
1 131 kr
Skickas inom 10-15 vardagar
Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues.Features:Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findingsProvides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problemsIdeal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges
Häftad, Engelska, 2024
690 kr
Skickas inom 10-15 vardagar
Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues.Features:Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findingsProvides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problemsIdeal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges
Inbunden, Engelska, 2023
1 872 kr
Skickas inom 10-15 vardagar
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
Inbunden, Engelska, 2023
1 872 kr
Skickas inom 10-15 vardagar
This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.
Häftad, Engelska, 2025
739 kr
Skickas inom 10-15 vardagar
This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
Inbunden, Engelska, 2023
1 458 kr
Skickas inom 10-15 vardagar
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments.The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency.A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
Häftad, Engelska, 2025
739 kr
Skickas inom 10-15 vardagar
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments.The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency.A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
Inbunden, Engelska, 2024
1 872 kr
Skickas inom 10-15 vardagar
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances.This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.
- Nyhet
Häftad, Engelska, 2026
739 kr
Skickas inom 10-15 vardagar
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances.This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.
Häftad, Engelska, 2025
739 kr
Skickas inom 10-15 vardagar
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
Inbunden, Engelska, 2024
2 497 kr
Skickas inom 10-15 vardagar
Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, optimizing treatment plans, and enhancing patient outcomes. Computational Intelligence and Blockchain in Biomedical and Health Informatics introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields and provides a framework and summary of the various methods. The book emphasizes the role of advanced computational techniques and offers demonstrative examples throughout. Techniques to analyze the impacts on the biomedical and health Informatics domains are discussed along with major challenges in deployment. Rounding out the book are highlights of the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability along with two case studies. This book is highly beneficial to educators, researchers, and anyone involved with health data.Features:• Introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields.• Provides a framework and a summary of various computational intelligence and blockchain methods.• Emphasizes the role of advanced computational techniques and offers demonstrative examples throughout.• Techniques to analyze the impact on biomedical and health informatics are discussed along with major challenges in deployment.• Highlights the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability.
Häftad, Engelska, 2025
761 kr
Skickas inom 10-15 vardagar
Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, optimizing treatment plans, and enhancing patient outcomes. Computational Intelligence and Blockchain in Biomedical and Health Informatics introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields and provides a framework and summary of the various methods. The book emphasizes the role of advanced computational techniques and offers demonstrative examples throughout. Techniques to analyze the impacts on the biomedical and health Informatics domains are discussed along with major challenges in deployment. Rounding out the book are highlights of the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability along with two case studies. This book is highly beneficial to educators, researchers, and anyone involved with health data.Features:• Introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields.• Provides a framework and a summary of various computational intelligence and blockchain methods.• Emphasizes the role of advanced computational techniques and offers demonstrative examples throughout.• Techniques to analyze the impact on biomedical and health informatics are discussed along with major challenges in deployment.• Highlights the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability.
Inbunden, Engelska, 2024
1 999 kr
Skickas inom 10-15 vardagar
Blockchain and distributed-ledger technologies enable new modes of communication, synchronization, and transfer of value with a broad impact on Internet of Things (IoT), Data Science, society, industry, commerce, and government. This book studies the potential impact of blockchain and distributed-ledger technologies on IoT. It highlights the application of possible solutions in the domain of blockchain and IoT system security, including cryptology, distributed systems, law, formal methods, code verification and validation, software, and systems metrics. As the field is growing fast, the book adapts to the changing research landscape, integrates and cross-links studies and citations in related subfields, and provides an overview of these fields and how they complement each other.• Highlights how the security aspect of the integration of blockchain with IoT will help to design secure data solutions for various domains• Offers fundamental knowledge of the blockchain concept and its usage in real-life applications• Presents current and future trends on the IoT and blockchain with an efficient, scalable, and sustainable approach• Reviews future developments in blockchain and IoT in future job opportunities• Discusses how blockchain for IoT systems can help a varied range of end-users to access computational and storage resourcesThis book is intended for postgraduate students and researchers in the departments of computer science, working in the areas of IoT, blockchain, deep learning, machine learning, image processing, and big data.
Häftad, Engelska, 2026
751 kr
Kommande
Blockchain and distributed-ledger technologies enable new modes of communication, synchronization, and transfer of value with a broad impact on Internet of Things (IoT), Data Science, society, industry, commerce, and government. This book studies the potential impact of blockchain and distributed-ledger technologies on IoT. It highlights the application of possible solutions in the domain of blockchain and IoT system security, including cryptology, distributed systems, law, formal methods, code verification and validation, software, and systems metrics. As the field is growing fast, the book adapts to the changing research landscape, integrates and cross-links studies and citations in related subfields, and provides an overview of these fields and how they complement each other.• Highlights how the security aspect of the integration of blockchain with IoT will help to design secure data solutions for various domains• Offers fundamental knowledge of the blockchain concept and its usage in real-life applications• Presents current and future trends on the IoT and blockchain with an efficient, scalable, and sustainable approach• Reviews future developments in blockchain and IoT in future job opportunities• Discusses how blockchain for IoT systems can help a varied range of end-users to access computational and storage resourcesThis book is intended for postgraduate students and researchers in the departments of computer science, working in the areas of IoT, blockchain, deep learning, machine learning, image processing, and big data.
Inbunden, Engelska, 2025
1 734 kr
Skickas inom 10-15 vardagar
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a necessity.From case studies to national and international best practices, Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0 delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes. Topics covered include security management, standard specifications, and sustainable manufacturing, highlighting the latest innovations in industrial engineering design. The book goes on to discuss the practical applications of AI-driven technologies in manufacturing, such as simulation, optimization, and sustainable development of industrial processes. A variety of real-world examples are offered, and a discussion of how these technologies are being deployed in different industries provides a clear understanding of their applications and benefits.This book is an essential guide for students, researchers, and industry professionals seeking to understand the evolving landscape of intelligent manufacturing and industrial engineering.
Häftad, Engelska, 2026
766 kr
Kommande
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a necessity.From case studies to national and international best practices, Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0 delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes. Topics covered include security management, standard specifications, and sustainable manufacturing, highlighting the latest innovations in industrial engineering design. The book goes on to discuss the practical applications of AI-driven technologies in manufacturing, such as simulation, optimization, and sustainable development of industrial processes. A variety of real-world examples are offered, and a discussion of how these technologies are being deployed in different industries provides a clear understanding of their applications and benefits.This book is an essential guide for students, researchers, and industry professionals seeking to understand the evolving landscape of intelligent manufacturing and industrial engineering.
Inbunden, Engelska, 2025
1 857 kr
Skickas inom 10-15 vardagar
The rapid convergence of the industrial internet of things (IIoT) and machine learning (ML) is propelling us into a new era known as Industry 5.0. This era is defined by unparalleled levels of automation, customization, and sustainability. Despite these advancements, there is a noticeable absence of comprehensive resources that offer a complete understanding of these transformative technologies and their practical applications across various industrial sectors. Transforing Industries: Capturing the Potential of IIoT and ML in the Era of Industry 5.0 aims to fill the void by providing a timely and relevant guide that explores the theoretical foundations of the technologies while also presenting real-world case studies and best practices.This comprehensive text discusses the profound impact of the IIoT and ML on various sectors, including manufacturing, supply chain management, and energy production. It provides a thorough examination of the opportunities and obstacles associated with these cutting-edge technologies. Through real-world case studies and success stories, readers gain insight into how industry leaders have successfully leveraged IIoT and ML solutions to optimize operational efficiency, foster innovation, and achieve unparalleled excellence. Practical strategies and detailed guidelines are also offered to facilitate the seamless integration of these technologies into existing workflows, empowering businesses to navigate the complexities of digital transformation with confidence. The focus of this publication also extends to future trends and potential disruptors in the era of Industry 5.0, equipping readers with the knowledge needed to anticipate and adapt to emerging challenges. Furthermore, the exploration of how IIoT and ML can streamline resource allocation, minimize waste, and promote sustainable practices underscores the alignment of technological advancements with corporate, environmental, and social responsibilities.By equipping industry leaders, professionals, and entrepreneurs with actionable insights, this book will empower businesses to stay ahead of the curve, foster innovation, optimize resource utilization, and ultimately gain a competitive advantage in the ever-evolving manufacturing landscape.
Häftad, Engelska, 2025
1 202 kr
Skickas inom 10-15 vardagar
This book explores the transformative potential of Explainable AI (XAI) in enhancing healthcare delivery and XAI's role in fostering transparency, trust, and accountability in AI-driven medical decision-making. Covering technical foundations, practical applications, and ethical considerations, it offers valuable insights into how XAI can improve clinical decision-making, patient outcomes, and healthcare operations. Through real-world case studies, the book illustrates the practical benefits of XAI in diverse healthcare scenarios. It also addresses the challenges and solutions related to deploying XAI, making it an essential resource for professionals and researchers.Detailed exploration of the methodologies, algorithms, and regulatory considerations underpinning XAI in smart healthcare systemsDiverse case studies demonstrating practical applications and benefits of XAI across various healthcare domains, enhancing understanding through tangible examplesExploration of innovative XAI applications in diagnosis, treatment, patient monitoring, and care delivery, showcasing its potential to revolutionize healthcare practices and improve outcomesDiscussion on how XAI promotes patient engagement by providing clear explanations of AI-driven diagnoses or treatment plans, enhancing patient understanding and participation in their healthcareBreakdown of XAI techniques, algorithms, and interpretability strategies, helping medical professionals understand and trust AI-driven decision-making processes
Inbunden, Engelska, 2025
903 kr
Skickas inom 10-15 vardagar
This book explores the transformative potential of Explainable AI (XAI) in enhancing healthcare delivery and XAI's role in fostering transparency, trust, and accountability in AI-driven medical decision-making. Covering technical foundations, practical applications, and ethical considerations, it offers valuable insights into how XAI can improve clinical decision-making, patient outcomes, and healthcare operations. Through real-world case studies, the book illustrates the practical benefits of XAI in diverse healthcare scenarios. It also addresses the challenges and solutions related to deploying XAI, making it an essential resource for professionals and researchers.Detailed exploration of the methodologies, algorithms, and regulatory considerations underpinning XAI in smart healthcare systemsDiverse case studies demonstrating practical applications and benefits of XAI across various healthcare domains, enhancing understanding through tangible examplesExploration of innovative XAI applications in diagnosis, treatment, patient monitoring, and care delivery, showcasing its potential to revolutionize healthcare practices and improve outcomesDiscussion on how XAI promotes patient engagement by providing clear explanations of AI-driven diagnoses or treatment plans, enhancing patient understanding and participation in their healthcareBreakdown of XAI techniques, algorithms, and interpretability strategies, helping medical professionals understand and trust AI-driven decision-making processes
Inbunden, Engelska, 2026
1 803 kr
Skickas inom 10-15 vardagar
This book begins by introducing digitization in sustainable development, discussing impacts on poverty, innovation, and infrastructure in the Age of Industry 4.0, and highlighting the development of interactive AI-powered environmental sustainability green models to reform the conservative business. It further covers important topics such as integration of AI technologies with digitization, green innovation, and ethical governance frameworks to build intelligent, inclusive, and eco-conscious business ecosystems, and smart energy management systems for developing green supply chains and smart cities with advancing sustainability.Key Features:Presents the role of digitization and AI technologies in enabling sustainable development across diverse sectors and business models in the Business 4.0 landscape.Highlights AI-powered innovations such as explainable AI, fuzzy logic systems, and intelligent manufacturing for sustainable infrastructure, consumer behavior, and business transformation.Explores how accessible digital tools and small-scale digitization empower green entrepreneurship, ESG integration, and inclusive economic growth, especially in emerging economies and micro-businesses.Demonstrates how AI can strengthen cybersecurity, optimize smart transportation systems, and support ecosystem preservation through IoT, robotics, and sustainable packaging.Addresses ethical, social, and policy considerations of AI in business sustainability and anticipates future developments toward Business 5.0.The text is primarily intended for graduate students, academic researchers, and industry professionals in fields such as computer science, business studies, information systems, digital transformation, and sustainability studies.
Digital Forensics in Next-Generation Internet of Medical Things
Balancing Security and Sustainability
Inbunden, Engelska, 2025
1 532 kr
Skickas inom 10-15 vardagar
This book provides a comprehensive exploration of the security challenges and solutions with digital sustainability in the rapidly evolving digital landscape of digital forensics. It explores the details of protecting Internet of Medical Things (IoMT) environments, where the medical data, patient data, and machine data are at high risk with the digital experiences. The book seeks to provide researchers, medical practitioners, and IT specialists with important information. It aims to set the stage for a future in which security and efficiency in IoMT smoothly blend through real-world case studies. Key themes cover IoMT-specific forensic techniques, the difficulties of striking a balance between environmental responsibility and security, and creative solutions that combine the two viewpoints.
Inbunden, Engelska, 2026
1 776 kr
Kommande
This book provides a comprehensive examination of artificial intelligence techniques that integrate heterogeneous healthcare data to support intelligent, secure, and sustainable healthcare systems. It presents both theoretical foundations and practical methodologies for multimodal data fusion, representation learning, and decision-making using medical images, bio signals, electronic health records, wearable sensors, text, and multimedia data.Features:Illustrates analyzing and integrating multiple modalities of healthcare data, such as medical images, electronic health records, bio signals, and genomic data.Emphasizes the role of multimedia intelligence in healthcare by leveraging advanced artificial intelligence techniques to analyze diverse data formats, including text, images, audio, and video.Presents practical applications that ensure secure healthcare data management and sustainable solutions, focusing on improving patient care and enhancing diagnostics.Covers the different security mechanisms applied in multimodal and multimedia-based healthcare applications.Showcases the role of advanced artificial intelligence and machine learning methods, including privacy-preserving technologies, blockchain, and explainable artificial intelligence tailored for secure healthcare.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
Inbunden, Engelska, 2026
2 011 kr
Kommande
Sustainable UAV Ecosystems: Integrating Blockchain, Quantum, and AI for Smart Mobility and SDG Innovation provides a comprehensive examination of technologies enabling secure, intelligent, and sustainable UAV ecosystems for smart mobility and digital infrastructure. It presents theoretical foundations and practical methodologies integrating artificial intelligence, blockchain, post-quantum cryptography and cloud-edge computing for resilient UAV communications. It not only explores predictive intelligence, adaptive routing, swarm intelligence and decentralized control in autonomous aerial networks but also highlights applications in smart-city logistics, disaster response, environmental monitoring and precision agriculture. Emphasis is placed on energy-efficient operations, low-carbon mobility and sustainable UAV systems aligned with Sustainable Development Goals (SDGs).Key Features:Illustrates the design and integration of secure and sustainable UAV ecosystems, including intelligent aerial networks, smart mobility infrastructures, and autonomous drone operations.Emphasizes the role of artificial intelligence and intelligent analytics in UAV systems by leveraging advanced techniques such as predictive intelligence, adaptive routing, and swarm intelligence for cooperative aerial operations.Presents practical applications of UAV technologies in smart-city logistics, disaster response, environmental monitoring, and precision agriculture to support efficient and sustainable services.Covers cybersecurity mechanisms and post-quantum cryptographic models for protecting UAV communications, aerial networks, and decentralized drone infrastructures.Showcases the integration of blockchain, distributed cloud–edge computing, and decentralized control frameworks to enable trustworthy, scalable, and resilient UAV ecosystems.This book is suitable for senior undergraduates, graduate students, and academic researchers in computer science, artificial intelligence, aerospace engineering, robotics, communication engineering, and smart mobility systems, as well as policymakers and industry practitioners working on sustainable UAV technologies and intelligent aerial infrastructures.
- Nyhet
Inbunden, Engelska, 2026
2 332 kr
Skickas inom 5-8 vardagar
Master the shift from centralized clouds to the network’s edge with this essential guide, providing real-world case studies and 6G strategies to build faster, more reliable industrial systems. 6G, the next generation of wireless communication technology, will enable unparalleled connectivity and data transfer speeds with ultra-reliable, low-latency transmission. This means better processing and decision-making in real-time. Instead of storing and processing the user’s data in a centralized cloud, edge intelligence allows users to process data locally, at the network’s periphery. With 6G-enabled IIoT, data from industrial devices and sensors can be handled locally, resulting in lower latency and faster response times for mission-critical applications. This book introduces edge intelligence and the 6G-enabled industrial Internet of Things ecosystem. It offers practical guidance and fosters a deeper understanding of how edge intelligence can be integrated with 6G-enabled IIoT applications and frameworks in a modern industrial environment. Through case studies and real-life examples, it will explore the complexities associated with real-life implementations for industrial applications, making it an invaluable resource in today’s digitally industrial ecosystem. Readers will find the volume: Provides a clear overview of edge intelligence and 6G-enabled IIoT integration;Bridges the gap between theoretical concepts and real-life industrial use cases;Includes real-world case studies to illustrate practical applications;Offers strategies to overcome industrial implementation challenges.Audience Engineers, data scientists, researchers, and technology professionals who are involved in industrial IoT, edge computing, and emerging 6G technologies.
Inbunden, Engelska, 2023
4 556 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2026
1 671 kr
Kommande
We are living in an AI and data-driven era. A huge volume of data is generated from all sectors including smart cities, intelligent transportation systems, smart healthcare, education, smart agriculture and smart industrial processes. This information comprises multiple modalities such as textual data, images, sound, gestures and genetic sequences, which are generated through various sources.The internet of multimedia things (IoMT) is one of the key contributors to the collection, analysis and management of voluminous multimodal data. The dominating features of IoMTs are well-timed delivery of data and dependability, but they require high levels of memory and computational power, which requires higher bandwidth and more power. Therefore, they require rigorous quality of service (QoS) and efficient, reliable and secure network frameworks.The objective of this book is to explore machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of data-centric smart applications in the IoMT framework. In all data-centric application domains where on-time availability of data and reliability are the major concerns, IoMT is contributing significantly. The authors present the challenges faced to organize and process multimodal data in data-centric applications, several types of data modalities, and innovative IoMT frameworks. A particular focus is placed on the role of ML and DL techniques in securing multi-modal data for real-time monitoring in smart environment applications.Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things caters to the needs of AI, big data and IoT advanced students, academic and industry researchers, engineers, security experts, data analysts, and AI and data-centric application developers.