Explainable Artificial Intelligence for Smart Cities

Explainable Artificial Intelligence for Smart Cities PDF Author: Mohamed Lahby
Publisher: CRC Press
ISBN: 1000472361
Category : Computers
Languages : en
Pages : 361

Get Book Here

Book Description
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

Explainable Artificial Intelligence for Smart Cities

Explainable Artificial Intelligence for Smart Cities PDF Author: Mohamed Lahby
Publisher: CRC Press
ISBN: 1000472361
Category : Computers
Languages : en
Pages : 361

Get Book Here

Book Description
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

Advances in Explainable AI Applications for Smart Cities

Advances in Explainable AI Applications for Smart Cities PDF Author: Ghonge, Mangesh M.
Publisher: IGI Global
ISBN: 1668463636
Category : Computers
Languages : en
Pages : 523

Get Book Here

Book Description
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

Computational Intelligence Techniques for Smart Cities

Computational Intelligence Techniques for Smart Cities PDF Author: Taylor & Francis Group
Publisher: CRC Press
ISBN: 9781032001128
Category :
Languages : en
Pages : 320

Get Book Here

Book Description
Thanks to rapid technological developments in terms of Computational Intelligence - smart tools have been taking active roles in daily life. It is clear that the 21st century has brought many advantages of using high level computation and communication solutions to deal with real world problems. However, more technologies bring more changes to society. In this sense, the concept of smart city has been a widely discussed topic in terms of society and Artificial Intelligence oriented research efforts. The rise of smart cities is somewhat a transformation of both communities and technology use habits and surely, there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, big IoT architectures), mechanisms of these systems become black-box to the users. As black-box level means no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes as well as future insights and both societal and technical aspects of XAI based smart city research efforts. This book contains nineteen contributions classified into seven main sections. Section I presents a background related to both concepts: Explainable Artificial Intelligence (XAI) techniques and sustainable smart city applications. Section II, XAI for Smart Healthcare, provides some chapters related to smart healthcare based on XAI techniques. Section III, XAI for Smart Education, explores the exploitation of XAI techniques in the context of smart education. Section IV, XAI for Smart Transportation, covers the various solutions that can contribute to improve smart transportation. Section V, XAI for Smart Environment, provides two chapters that can contribute to improve smart environment. Section VI of this book is about a smart urbanization and governance. A few chapters are fully dedicated to the use of XAI techniques for urbanization and governance. Finally, the last Section, Cyber Security and XAI for Smart Cities covers the latest architectures, and applications of XAI for cybersecurity and privacy in smart cities.

Explainable, Interpretable, and Transparent AI Systems

Explainable, Interpretable, and Transparent AI Systems PDF Author: B. K. Tripathy
Publisher: CRC Press
ISBN: 1040099939
Category : Technology & Engineering
Languages : en
Pages : 355

Get Book Here

Book Description
Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tackling important issues of “interpretability” and “transparency”. Reviews adept handling with respect to existing software and evaluation issues of interpretability. Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. Focuses on interpreting black box models like feature importance and accumulated local effects. Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.

Smart Cities

Smart Cities PDF Author: Bhisham Sharma
Publisher: CRC Press
ISBN: 1040095909
Category : Computers
Languages : en
Pages : 301

Get Book Here

Book Description
This book aims to provide a comprehensive overview of the various services that are available to help cities develop their smart communities. It includes a variety of topics such as artificial intelligence, blockchain, advanced computing, and the Internet of Everything. Smart Cities: Blockchain, AI, and Advanced Computing is structured with independent chapters, each highlighting the current and future state-of-the-art technologies addressing smart city challenges. The book covers a variety of application areas, including healthcare, transportation, smart grids, supply chain management, and financial systems. There are both theoretical and empirical investigations in this book; they cover a wide range of topics related to smart city development and implementation, among others, all of which have a significant impact on the creation of smart cities. This book then examines the state‐of‐the‐art blockchain technology for smart city challenges and programs that might enhance the quality of life in urban areas and encourage cultural and economic growth. This book is written especially for the students, researchers, academicians, and industry professionals looking for initiatives and advancements in technologies with a primary focus on their implications for smart cities.

Security and Privacy Vision in 6G

Security and Privacy Vision in 6G PDF Author: Pawani Porambage
Publisher: John Wiley & Sons
ISBN: 1119875404
Category : Technology & Engineering
Languages : en
Pages : 389

Get Book Here

Book Description
SECURITY AND PRIVACY VISION IN 6G Prepare for the future of mobile communication with this comprehensive study 6G is the next frontier in mobile communication, with development of 6G standards slated to begin as early as 2026. As telecommunications networks become faster and more intelligent, security and privacy concerns are critical. In an increasingly connected world, there is an urgent need for user data to be safeguarded and system security enhanced against a new generation of threats. Security and Privacy Vision in 6G provides a comprehensive survey of these threats and the emerging techniques for safeguarding against them. It includes mechanisms for prediction, detection, mitigation, and prevention, such that threats to privacy and security can be forestalled at any stage. Fully engaged with proposed 6G architectures, it is an essential resource for mobile communications professionals looking for a head start on the technology of the future. Security and Privacy Vision in 6G readers will also find: Detailed coverage of topics including edge intelligence and cloudification, industrial automation, collaborative robots, and more Treatment balancing the practical and the theoretical An editorial team with decades of international network technology experience in both industry and academia Security and Privacy Vision in 6G is a vital reference for network security professionals and for postgraduate and advanced undergraduate students in mobile communications and network security-related fields.

Explainable AI (XAI) for Sustainable Development

Explainable AI (XAI) for Sustainable Development PDF Author: Lakshmi D
Publisher: CRC Press
ISBN: 1040038832
Category : Technology & Engineering
Languages : en
Pages : 335

Get Book Here

Book Description
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.

Explainable Artificial Intelligence and Solar Energy Integration

Explainable Artificial Intelligence and Solar Energy Integration PDF Author: Pandey, Jay Kumar
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 506

Get Book Here

Book Description
As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.

Explainable Artificial Intelligence for Cyber Security

Explainable Artificial Intelligence for Cyber Security PDF Author: Mohiuddin Ahmed
Publisher: Springer Nature
ISBN: 3030966305
Category : Computers
Languages : en
Pages : 283

Get Book Here

Book Description
This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.

Applications of Artificial Intelligence in the Internet of Things

Applications of Artificial Intelligence in the Internet of Things PDF Author: Nitin Goyal
Publisher: Cambridge Scholars Publishing
ISBN: 1036411079
Category : Computers
Languages : en
Pages : 462

Get Book Here

Book Description
This book delves into the dynamic synergy between AI and IoT, offering a comprehensive exploration of their transformative potential. With a keen eye on the present and future landscapes, this book navigates through real-world applications, showcasing how AI enriches IoT ecosystems, amplifying their capabilities across diverse sectors. From smart homes and cities to industrial automation and healthcare, each chapter unfolds compelling case studies illustrating how AI augments IoT devices to optimize processes, enhance decision-making, and drive innovation. As the technological horizon expands, the book anticipates emerging trends, paving the way for readers to grasp the profound impact AI will continue to wield on the IoT landscape. Whether you're a seasoned professional or an enthusiast curious about the intersection of AI and IoT, this book offers invaluable insights into the boundless opportunities that await in today's interconnected world and the possibilities that lie ahead.