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Good Practices and New Perspectives in Information Systems and Technologies: WorldCIST 2024, Volume 6 (Lecture Notes in Networks and Systems #990)
by Hojjat Adeli Álvaro Rocha Gintautas Dzemyda Aneta Poniszewska-Marańda Fernando MoreiraThis book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.
Hierarchical Archimedean Copulas (SpringerBriefs in Applied Statistics and Econometrics)
by Ostap Okhrin Jan GóreckiThis book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications. It covers the basics of copulas, explores the Archimedean family, and delves into the specifics of HACs, including their fundamental properties. The text also addresses sampling algorithms, HAC parameter estimation, and structure, and highlights temporal models with applications in finance and economics. The final chapter introduces R, MATLAB, and Octave toolboxes for copula modeling, enabling students, researchers, data scientists, and practitioners to model complex dependence structures and make well-informed decisions across various domains.
Deception in Autonomous Transport Systems: Threats, Impacts and Mitigation Policies (Wireless Networks)
by Simon Parkinson Mauro Vallati Alexandros NikitasThis book provides a comprehensive overview of deception in autonomous transport systems. This involves investigating the threats facing autonomous transport systems and how they can contribute towards a deceptive attack, followed by their potential impact if successful, and finally, how they can be mitigated. The work in this book is grouped into three parts. This first part focuses on the area of smart cities, policies, and ethics. This includes critically appraising the trade-off between functionality and security with connected and autonomous vehicles. The second discusses a range of AI applications in the wider field of smart transport and mobility, such as detecting anomalies in vehicle behaviour to investigating detecting disobedient vehicles. Finally, the third part presents and discusses cybersecurity-related aspects to consider when dealing with Connected and Autonomous Vehicles (CAVs) and smart urban infrastructure. This includes analysing different attacks to investigating secure communication technologies. CAVs are a game-changing technology with the potential to transform the way transport is perceived, mobility is serviced, travel ecosystems ‘behave’, and cities and societies as a whole function. There are many foreseen safety, accessibility and sustainability benefits resulting from the adoption of CAVs because of their ability, in theory, to operate error-free and collaboratively, ranging from accident prevention, congestion reduction and decreased carbon emissions to time savings, increased social inclusion, optimised routing, and better traffic control. However, no matter what the expected benefits are, CAVs are at the same time susceptible to an unprecedented number of new digital and physical threats. The severity of these threats has resulted in an increased effort to deepen our understanding of CAVs when it comes to their safety and resilience. In this complex and multi-faceted scenario, this book aims to provide an extensive overview of the risks related to the malicious exploitation of CAVs and beyond, the potential ways in which vulnerabilities can be exploited, prevention and mitigation policies and techniques, and the impact that the non-acceptance of Connected and Autonomous Mobility can have on the Smart City agenda. This book targets researchers, practitioners, and advanced-level students in computer science and transport engineering.
Understanding Cryptography: From Established Symmetric and Asymmetric Ciphers to Post-Quantum Algorithms
by Tim Güneysu Christof Paar Jan PelzlUnderstanding and employing cryptography has become central for securing virtually any digital application, whether user app, cloud service, or even medical implant.Heavily revised and updated, the long-awaited second edition of Understanding Cryptography follows the unique approach of making modern cryptography accessible to a broad audience, requiring only a minimum of prior knowledge. After introducing basic cryptography concepts, this seminal textbook covers nearly all symmetric, asymmetric, and post-quantum cryptographic algorithms currently in use in applications—ranging from cloud computing and smart phones all the way to industrial systems, block chains, and cryptocurrencies.Topics and features:Opens with a foreword by cryptography pioneer and Turing Award winner, Ron RivestHelps develop a comprehensive understanding of modern applied cryptographyProvides a thorough introduction to post-quantum cryptography consisting of the three standardized cipher familiesIncludes for every chapter a comprehensive problem set, extensive examples, and a further-reading discussionCommunicates, using a unique pedagogical approach, the essentials about foundations and use in practice, while keeping mathematics to a minimumSupplies up-to-date security parameters for all cryptographic algorithmsIncorporates chapter reviews and discussion on such topics as historical and societal contextThis must-have book is indispensable as a textbook for graduate and advanced undergraduate courses, as well as for self-study by designers and engineers.The authors have more than 20 years’ experience teaching cryptography at various universities in the US and Europe. In addition to being renowned scientists, they have extensive experience with applying cryptography in industry, fromwhich they have drawn important lessons for their teaching.
New Technologies, Development and Application VI: Volume 2 (Lecture Notes in Networks and Systems #707)
by Ahmed Kovačević Isak Karabegovic Sadko MandzukaThis book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on 22–24 June 2023. It covers a wide range of future technologies and technical disciplines, including complex systems such as Industry 4.0; patents in industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, and renewable energy sources; automotive and biological systems; vehicular networking and connected vehicles; effectiveness and logistics systems, smart grids, nonlinear systems, power, social and economic systems, education, and IoT. This book is oriented towards Fourth Industrial Revolution “Industry 4.0”, which implementation will improve many aspects of human life in all segments and lead to changes in business paradigms and production models. Further, new business methods are emerging, transforming production systems, transport, delivery, and consumption, which need to be monitored and implemented by every company involved in the global market. Chapter “Technologies for Remediation of Polluted Environments: Between Classic Processes and the Challenges of New Approaches” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Risks and Security of Internet and Systems: 18th International Conference, CRiSIS 2023, Rabat, Morocco, December 6–8, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14529)
by Frédéric Cuppens Guillermo Navarro-Arribas Nora Cuppens Abderrahim Ait Wakrime Redouane BenainiThis book constitutes the revised selected papers of the 18th International Conference on Risks and Security of Internet and Systems, CRiSIS 2023, which took place in Rabat, Morocco, during December 6–8, 2023. The 13 full papers and 2 short papers included in this volume were carefully reviewed and selected from 25 submissions. The papers detail security issues in internet-related applications, networks and systems.
Towards a Smart, Resilient and Sustainable Industry: Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 (Lecture Notes in Networks and Systems #745)
by Yuri Borgianni Guido Orzes Dominik T. Matt Margherita MolinaroThis book offers insights into the new trends that are pushing industries toward the 5.0 paradigm. Digitalization has made tremendous inroads, and the key enabling technologies for Industry 4.0 are increasingly mature. “Towards a Smart, Resilient and Sustainable Industry” not only strikes a balance among the current benefits, issues, and limitations of the current wave of digitalization, but also identifies the key challenges for making new industrial developments favorable for people and the environment. The different perspectives presented in this collection are gathered from contributions presented at the 2nd International Symposium on Industrial Engineering and Automation (ISIEA 2023), which took place at the Free University of Bozen-Bolzano on June 22-23, 2023. Readers will realize how aspects from different disciplines are interwoven to allow positive changes across industries: from engineering to artificial intelligence, from management to design, and from health care to biology.
Reshaping Power Dynamics Between Sustainable Growth and Technical Disruption: 6th International Conference on Economics and Social Sciences, ICESS 2023, Bucharest, Romania (Springer Proceedings in Business and Economics)
by Alina Mihaela Dima Sorin VâlceaThis book covers various topics related to economics and the social sciences, such as artificial intelligence, sustainability, ESG, and tax administration. The respective contributions provide insights and perspectives on the current challenges and opportunities in these fields, while also showcasing the latest research and innovations from scholars and practitioners around the world. The book is based on the papers presented at the 6th International Conference on Economics and Social Sciences, ICESS 2023, which was held in Bucharest, Romania.
Data Protection: Governance, Risk Management, and Compliance
by David G. HillFailure to appreciate the full dimensions of data protection can lead to poor data protection management, costly resource allocation issues, and exposure to unnecessary risks. Data Protection: Governance, Risk Management, and Compliance explains how to gain a handle on the vital aspects of data protection.The author begins by building the foundatio
Data Mining in Biomedical Imaging, Signaling, and Systems
by Rajendra Acharya U Sumeet DuaData mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi
Intelligent Computing in Carcinogenic Disease Detection (Computational Intelligence Methods and Applications)
by Madhubanti Maitra Kaushik Das Sharma Subhajit KarThis book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.
Agile eHealth Usability Evaluation: Development of the ToUsE toolbox to foster the usability of eHealth systems
by Irina SinabellThe integration of usability evaluations into iterative software development processes is becoming increasingly relevant, as gathering feedback from prospective users is crucial to improving the usability of eHealth systems. Traditional approaches to eHealth usability evaluation, however, are difficult to reconcile with the iterative software development process, which is why there is an increasing need for agile usability evaluation. Despite the existence of approaches to agile usability evaluation, it is unclear whether they are suitable to rapidly evaluate patient-centered eHealth systems being iteratively developed in health care applicable, for prospective users such as elderly persons suffering from age-related declines. This research includes an innovative and comprehensive toolbox called ToUsE, toolbox for eHealth usability evaluation, which consists of more than 40 rapidly deployable and potentially useful eHealth usability evaluation methods developed by the author. The ToUsEtoolbox is intended for use by software developers, medical informaticians, usability experts, or medical professionals who aim at performing an eHealth usability evaluation. The book provides detailed descriptions of all the eHealth usability evaluation methods included in ToUsE.
Machine Learning for Mobile Communications (Industry 5.0)
by Chiranji Lal Chowdhary Subrata Chowdhury Sinh Cong Lam Tushar Hrishikesh JawareMachine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book: Discusses the 5G new radio system design and architecture as specified in 3GPP documents. Highlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systems. Identifies both theoretical and practical problems that can occur in mobile communication systems. Covers machine learning techniques such as autoencoder and Q-learning in a comprehensive manner. Explores how to apply machine learning techniques to mobile systems to solve modern problems. This book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Machine Learning for Mobile Communications (Industry 5.0)
by Chiranji Lal Chowdhary Subrata Chowdhury Sinh Cong Lam Tushar Hrishikesh JawareMachine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book: Discusses the 5G new radio system design and architecture as specified in 3GPP documents. Highlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systems. Identifies both theoretical and practical problems that can occur in mobile communication systems. Covers machine learning techniques such as autoencoder and Q-learning in a comprehensive manner. Explores how to apply machine learning techniques to mobile systems to solve modern problems. This book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Fundamental Mathematical Concepts for Machine Learning in Science
by Umberto MichelucciThis book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines—such as physics, chemistry, biology, medicine, psychology and many more. It elucidates core mathematical concepts in an accessible and straightforward manner, maintaining rigorous mathematical integrity. For readers more versed in mathematics, the book includes advanced sections that are not prerequisites for the initial reading. It ensures concepts are clearly defined and theorems are proven where it's pertinent. Machine learning transcends the mere implementation and training of algorithms; it encompasses the broader challenges of constructing robust datasets, model validation, addressing imbalanced datasets, and fine-tuning hyperparameters. These topics are thoroughly examined within the text, along with the theoretical foundations underlying these methods. Rather than concentrating on particular algorithms this book focuses on the comprehensive concepts and theories essential for their application. It stands as an indispensable resource for any scientist keen on integrating machine learning effectively into their research. Numerous texts delve into the technical execution of machine learning algorithms, often overlooking the foundational concepts vital for fully grasping these methods. This leads to a gap in using these algorithms effectively across diverse disciplines. For instance, a firm grasp of calculus is imperative to comprehend the training processes of algorithms and neural networks, while linear algebra is essential for the application and efficient training of various algorithms, including neural networks. Absent a solid mathematical base, machine learning applications may be, at best, cursory, or at worst, fundamentally flawed. This book lays the foundation for a comprehensive understanding of machine learning algorithms and approaches.
Multimodal and Tensor Data Analytics for Industrial Systems Improvement (Springer Optimization and Its Applications #211)
by Panos M. Pardalos Nathan Gaw Mostafa Reisi GahrooeiThis volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data analytics and shines a light on a pathway toward new research developments. Chapters are composed by eminent researchers and practitioners who present their research results and ideas based on their expertise. As data collection instruments have improved in quality and quantity for many applications, there has been an unprecedented increase in the availability of data from multiple sources, known as modalities. Modalities express a large degree of heterogeneity in their form, scale, resolution, and accuracy. Determining how to optimally combine the data for prediction and characterization is becoming increasingly important. Several research studies have investigated integrating multimodality data and discussed the challenges and limitations of multimodal data fusion. This volume provides a topical overview of various methods in multimodal data fusion for industrial engineering and operations research applications, such as manufacturing and healthcare.Advancements in sensing technologies and the shift toward the Internet of Things (IoT) has transformed and will continue to transform data analytics by producing new requirements and more complex forms of data. The abundance of data creates an unprecedented opportunity to design more efficient systems and make near-optimal operational decisions. On the other hand, the structural complexity and heterogeneity of the generated data pose a significant challenge to extracting useful features and patterns for making use of the data and facilitating decision-making. Therefore, continual research is needed to develop new statistical and analytical methodologies that overcome these data challenges and turn them into opportunities.
The Semantic Web: 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14664)
by Heiko Paulheim Raphaël Troncy Olaf Hartig Mehwish Alam Maribel Acosta Anastasia Dimou Pasquale Lisena Albert Meroño PeñuelaThe two-volume set LNCS 14664 and 14665 constitutes the refereed proceedings of the 21st International Conference on The Semantic Web, ESWC 2024, held in Hersonissos, Crete, Greece, during May 26-30, 2024. The 32 full papers presented were carefully reviewed and selected from 138 submissions. They focus on all aspects of theoretical, analytical, and empirical aspects of the semantic web, semantic technologies, knowledge graphs and semantics on the web in general.
The Semantic Web: 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14665)
by Heiko Paulheim Raphaël Troncy Olaf Hartig Mehwish Alam Maribel Acosta Anastasia Dimou Pasquale Lisena Albert Meroño PeñuelaThe two-volume set LNCS 14664 and 14665 constitutes the refereed proceedings of the 21st International Conference on The Semantic Web, ESWC 2024, held in Hersonissos, Crete, Greece, during May 26-30, 2024. The 32 full papers presented were carefully reviewed and selected from 138 submissions. They focus on all aspects of theoretical, analytical, and empirical aspects of the semantic web, semantic technologies, knowledge graphs and semantics on the web in general.
Converging Minds: The Creative Potential of Collaborative AI (Human Factors in Design, Engineering, and Computing)
by Aleksandra Przegalinska Tamilla TriantoroThis groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors.This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world.Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning.Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.
Converging Minds: The Creative Potential of Collaborative AI (Human Factors in Design, Engineering, and Computing)
by Aleksandra Przegalinska Tamilla TriantoroThis groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors.This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world.Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning.Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.
Industry 4.0 with Modern Technology: Proceedings of the International Conference on Emerging trends in Engineering and Technology, Industry 4.0 (ETETI-2023)
by Mufti Mahmud North Carolina Sujit Kumar Pradhan Rabinarayan SethiThis volume contains the papers presented at International Conference on Emerging Trends in Engineering and Technology-Industry 4.0 (ETETI-2023) being organized by the prestigious Indira Gandhi Institute of Technology, Sarang (An Autonomous institute of Govt of Odisha), India, during 6th and 7th May 2023.
Industry 4.0 with Modern Technology: Proceedings of the International Conference on Emerging trends in Engineering and Technology, Industry 4.0 (ETETI-2023)
by Mufti Mahmud Srinivas Sethi Sujit Kumar Pradhan Rabinarayan SethiThis volume contains the papers presented at International Conference on Emerging Trends in Engineering and Technology-Industry 4.0 (ETETI-2023) being organized by the prestigious Indira Gandhi Institute of Technology, Sarang (An Autonomous institute of Govt of Odisha), India, during 6th and 7th May 2023.
Design, User Experience, and Usability: 13th International Conference, DUXU 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14712)
by Aaron Marcus Marcelo M. Soares Elizabeth RosenzweigThis five-volume set LNCS 14712-14716 constitutes the refereed proceedings of the 13th International Conference on Design, User Experience, and Usability, DUXU 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 – July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The DUXU 2024 proceedings were organized in the following topical sections: Part I: Information Visualization and Interaction Design; Usability Testing and User Experience Evaluation. Part II: Designing Interactions for Intelligent Environments; Automotive Interactions and Smart Mobility Solutions; Speculative Design and Creativity. Part III: User Experience Design for Inclusion and Diversity; Human-Centered Design for Social Impact. Part IV: Designing Immersive Experiences across Contexts; Technology, Design, and Learner Engagement; User Experience in Tangible and Intangible Cultural Heritage. Part V: Innovative Design for Enhanced User Experience; Innovations in Product and Service Design.
Deep Learning in Internet of Things for Next Generation Healthcare
by Lavanya Sharma Pradeep Kumar GargThis book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.
Deep Learning in Internet of Things for Next Generation Healthcare
by Lavanya Sharma Pradeep Kumar GargThis book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.