Xai Based Intelligent Systems For Society 50

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Explainable AI in Healthcare

Explainable AI in Healthcare
  • Author : Mehul S Raval,Mohendra Roy,Tolga Kaya,Rupal Kapdi
  • Publisher : CRC Press
  • Release Date : 2023-07-17
  • Total pages : 347
  • ISBN : 9781000906400
  • File Size : 48,6 Mb
  • Total Download : 936
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This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering. This book will benefit readers in the following ways: Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care Investigates bridges between computer scientists and physicians being built with XAI Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent Initiates discussions on human-AI relationships in health care Unites learning for privacy preservation in health care

Design Science Research for a New Society: Society 5.0

Design Science Research for a New Society: Society 5.0
  • Author : Aurona Gerber,Richard Baskerville
  • Publisher : Springer Nature
  • Release Date : 2023-05-18
  • Total pages : 491
  • ISBN : 9783031328084
  • File Size : 30,8 Mb
  • Total Download : 170
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This book constitutes the proceedings of the 18th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2023, which was held in Pretoria, South Africa, from May 31–June 2, 2023. The 29 full papers presented in this volume were carefully reviewed and selected from 81 submissions. The papers are organized in the following topical sections: Design-oriented Research for Society 5.0 (Theme Track); Design of Systems Using Emerging Technologies; Human-Centered Artificial Intelligence (HCAI); Healthcare Systems and Quality of Life; Innovation and Entrepreneurship; Emerging DSR Methods and Processes; Education and DRS; Human Safety and Cybersecurity; Co-Desing and Collective Creativity for Addressing Grand Challenges; and Sustainability and Responsible Design.

Towards Digital Intelligence Society

Towards Digital Intelligence Society
  • Author : Ján Paralič,Peter Sinčák,Pitoyo Hartono,Vladimír Mařík
  • Publisher : Springer Nature
  • Release Date : 2020-12-21
  • Total pages : 204
  • ISBN : 9783030638726
  • File Size : 21,8 Mb
  • Total Download : 964
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This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them. The book’s subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data and information modeling techniques (Part III).

Applied Intelligence and Informatics

Applied Intelligence and Informatics
  • Author : Mufti Mahmud,Cosimo Ieracitano,M. Shamim Kaiser,Nadia Mammone,Francesco Carlo Morabito
  • Publisher : Springer Nature
  • Release Date : 2023-02-01
  • Total pages : 568
  • ISBN : 9783031248016
  • File Size : 46,8 Mb
  • Total Download : 178
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This book constitutes the refereed proceedings of the Second International Conference on Applied Intelligence and Informatics, AII 2022, held in Reggio Calabria, Italy, during September 1–3, 2022. The 38 full papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: ​Emerging Applications of AI and Informatics; Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; and Application of AI and Informatics in Network, Security, and Analytics.

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
  • Author : Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
  • Publisher : Springer Nature
  • Release Date : 2021-08-25
  • Total pages : 788
  • ISBN : 9783030854478
  • File Size : 10,7 Mb
  • Total Download : 893
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This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.

Hybrid Artificial Intelligent Systems

Hybrid Artificial Intelligent Systems
  • Author : Hugo Sanjurjo González,Iker Pastor López,Pablo García Bringas,Héctor Quintián,Emilio Corchado
  • Publisher : Springer Nature
  • Release Date : 2021-09-15
  • Total pages : 673
  • ISBN : 9783030862718
  • File Size : 54,6 Mb
  • Total Download : 998
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This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021. The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.

Ethics, Governance, and Policies in Artificial Intelligence

Ethics, Governance, and Policies in Artificial Intelligence
  • Author : Luciano Floridi
  • Publisher : Springer Nature
  • Release Date : 2021-11-02
  • Total pages : 392
  • ISBN : 9783030819071
  • File Size : 11,7 Mb
  • Total Download : 927
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This book offers a synthesis of investigations on the ethics, governance and policies affecting the design, development and deployment of artificial intelligence (AI). Each chapter can be read independently, but the overall structure of the book provides a complementary and detailed understanding of some of the most pressing issues brought about by AI and digital innovation. Given its modular nature, it is a text suitable for readers who wish to gain a reliable orientation about the ethics of AI and for experts who wish to know more about specific areas of the current debate.

Regulating Artificial Intelligence

Regulating Artificial Intelligence
  • Author : Thomas Wischmeyer,Timo Rademacher
  • Publisher : Springer Nature
  • Release Date : 2019-11-29
  • Total pages : 391
  • ISBN : 9783030323615
  • File Size : 30,5 Mb
  • Total Download : 244
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This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.

The 2020 Yearbook of the Digital Ethics Lab

The 2020 Yearbook of the Digital Ethics Lab
  • Author : Josh Cowls,Jessica Morley
  • Publisher : Springer Nature
  • Release Date : 2021-11-19
  • Total pages : 227
  • ISBN : 9783030800833
  • File Size : 15,5 Mb
  • Total Download : 654
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This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field.

Explainable Fuzzy Systems

Explainable Fuzzy Systems
  • Author : Jose Maria Alonso Moral,Ciro Castiello,Luis Magdalena,Corrado Mencar
  • Publisher : Springer Nature
  • Release Date : 2021-04-07
  • Total pages : 232
  • ISBN : 9783030710989
  • File Size : 13,9 Mb
  • Total Download : 581
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The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.

Adaptive Instructional Systems

Adaptive Instructional Systems
  • Author : Robert A. Sottilare,Jessica Schwarz
  • Publisher : Springer Nature
  • Release Date : 2020-07-10
  • Total pages : 582
  • ISBN : 9783030507886
  • File Size : 43,8 Mb
  • Total Download : 986
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This volume constitutes the refereed proceedings of the Second International Conference on Adaptive Instructional Systems, AIS 2020, which was due to be held in July 2020 as part of HCI International 2020 in Copenhagen, Denmark. The conference was held virtually due to the COVID-19 pandemic. A total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. The 41 papers presented in this volume were organized in topical sections as follows: designing and developing adaptive instructional systems; learner modelling and methods of adaptation; evaluating the effectiveness of adaptive instructional systems. Chapter "Exploring Video Engagement in an Intelligent Tutoring System" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapters “An Ambient and Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things“ and “Exploring Video Engagement in an Intelligent Tutoring System" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Agile Business Leadership Methods for Industry 4.0

Agile Business Leadership Methods for Industry 4.0
  • Author : Bülent Akkaya
  • Publisher : Emerald Group Publishing
  • Release Date : 2020-10-05
  • Total pages : 420
  • ISBN : 9781800433809
  • File Size : 29,7 Mb
  • Total Download : 906
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Agile Business Leadership Methods for Industry 4.0 is a collection of innovative research on new leadership styles that will develop agile managers and business leaders who can improve company success in the fast-paced environments created by Industry 4.0.

Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction
  • Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
  • Publisher : Springer Nature
  • Release Date : 2020-08-19
  • Total pages : 552
  • ISBN : 9783030573218
  • File Size : 48,7 Mb
  • Total Download : 726
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This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.

Handbook of Research on Artificial Intelligence in Human Resource Management

Handbook of Research on Artificial Intelligence in Human Resource Management
  • Author : Strohmeier, Stefan
  • Publisher : Edward Elgar Publishing
  • Release Date : 2022-03-08
  • Total pages : 416
  • ISBN : 9781839107535
  • File Size : 15,8 Mb
  • Total Download : 771
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This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Digital Transformation and Global Society

Digital Transformation and Global Society
  • Author : Daniel A. Alexandrov,Alexander V. Boukhanovsky,Andrei V. Chugunov,Yury Kabanov,Olessia Koltsova,Ilya Musabirov,Sergei Pashakhin
  • Publisher : Springer Nature
  • Release Date : 2022-01-25
  • Total pages : 548
  • ISBN : 9783030937157
  • File Size : 34,8 Mb
  • Total Download : 856
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This volume constitutes refereed proceedings of the 6th International Conference on Digital Transformation and Global Society, DTGS 2021, held as a virtual event in June 2021. Due to the COVID-19 pandemic the conference was held online. The 34 revised full papers and 4 short papers presented in the volume were carefully reviewed and selected from 95 submissions. The papers are organized in topical sections on ​eSociety: social informatics and digital inclusion issues; ePolity: e-governance and regulation; eCity: smart cities and urban planning; eHumanities: digital education and research methods; eCommunication: online discources and attitudes; eEconomy: challenges of the COVID-19 pandemic; eEconomy: e-commerce research.

Analyzing Future Applications of AI, Sensors, and Robotics in Society

Analyzing Future Applications of AI, Sensors, and Robotics in Society
  • Author : Musiolik, Thomas Heinrich,Cheok, Adrian David
  • Publisher : IGI Global
  • Release Date : 2020-09-11
  • Total pages : 335
  • ISBN : 9781799835011
  • File Size : 43,9 Mb
  • Total Download : 705
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The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.

Connected e-Health

Connected e-Health
  • Author : Sushruta Mishra,Alfonso González-Briones,Akash Kumar Bhoi,Pradeep Kumar Mallick,Juan M. Corchado
  • Publisher : Springer Nature
  • Release Date : 2022-05-05
  • Total pages : 487
  • ISBN : 9783030979294
  • File Size : 51,8 Mb
  • Total Download : 146
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With rise of smart medical sensors, cloud computing and the health care technologies, “connected health” is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.

Computational Intelligence in Cancer Diagnosis

Computational Intelligence in Cancer Diagnosis
  • Author : Janmenjoy Nayak,Danilo Pelusi,Bighnaraj Naik,Manohar Mishra,Khan Muhammad,David Al-Dabass
  • Publisher : Academic Press
  • Release Date : 2023-04-12
  • Total pages : 422
  • ISBN : 9780323903530
  • File Size : 28,9 Mb
  • Total Download : 607
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Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases Discusses several cancer types, including their detection, treatment and prevention Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer

Artificial Neural Networks and Machine Learning – ICANN 2020

Artificial Neural Networks and Machine Learning – ICANN 2020
  • Author : Igor Farkaš,Paolo Masulli,Stefan Wermter
  • Publisher : Springer Nature
  • Release Date : 2020-10-19
  • Total pages : 891
  • ISBN : 9783030616090
  • File Size : 40,8 Mb
  • Total Download : 878
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The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.* The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 249 submissions. They were organized in 2 volumes focusing on topics such as adversarial machine learning, bioinformatics and biosignal analysis, cognitive models, neural network theory and information theoretic learning, and robotics and neural models of perception and action. *The conference was postponed to 2021 due to the COVID-19 pandemic.

Yearbook of International Humanitarian Law, Volume 21 (2018)

Yearbook of International Humanitarian Law, Volume 21 (2018)
  • Author : Terry D. Gill,Robin Geiß,Heike Krieger,Christophe Paulussen
  • Publisher : Springer Nature
  • Release Date : 2019-10-31
  • Total pages : 285
  • ISBN : 9789462653436
  • File Size : 41,8 Mb
  • Total Download : 319
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The main theme of this volume of the Yearbook of International Humanitarian Law is weapons law. In several chapters, how International Humanitarian Law (IHL) copes with old and new weapons as well as political developments in regard to military technology is discussed, while in two chapters the significance of non- or less-lethal weapons in peace-keeping and law enforcement operations as well as the legality of lethal autonomous weapon systems under IHL are analysed. Moreover, the volume describes the current status of nuclear deterrence under international law. Another layer is added by examining how IHL influences the programming of automatic target recognition systems using artificial intelligence. The second part of the book contains a historic perspective on the roots of IHL in Europe, which can be traced back to the ninth century, as well as a Year in Review describing the most important events and legal developments in the area of IHL that took place in 2018. The Yearbook of International Humanitarian Law is the world’s only annual publication devoted to the study of the laws governing armed conflict. It provides a truly international forum for high-quality, peer-reviewed academic articles focusing on this crucial branch of international law. Distinguished by contemporary relevance, the Yearbook of International Humanitarian Law bridges the gap between theory and practice and serves as a useful reference tool for scholars, practitioners, military personnel, civil servants, diplomats, human rights workers and students.

Intelligent Healthcare

Intelligent Healthcare
  • Author : Chinmay Chakraborty,Mohammad R. Khosravi
  • Publisher : Springer Nature
  • Release Date : 2022-06-02
  • Total pages : 493
  • ISBN : 9789811681509
  • File Size : 25,5 Mb
  • Total Download : 401
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The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.