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IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners
by Agus KurniawanExplore the capabilities of the NVIDIA Jetson Nano, an IoT device designed to perform computations like a computer desktop. This book will show you how to build your first project and optimize your devices, programs, and daily activities with the AI computation abilities of the Jetson Nano. This board consists of CPU Quad-core ARM A57 @ 1.43 GHz and GPU 128-core Maxwell. With this hardware specification, the board can run multiple neural networks in parallel for complex AI applications. With the integrated sensor and actuators, this board enables stronger IoT solutions and provides more advanced capabilities.Discover how develop complex IoT projects with the Jetson Nano today.What You’ll LearnSet up NVIDIA Jetson Nano deviceBuild applications like image classification, object detection, segmentation, and speech processingUse the Jetson Nano to process daily computer activities such as browsing the internet, checking emails, or playing music and videosImplement machine learning computations into your projectsWho This Book Is ForMakers, developers, students, and professional of all levels who are new to the NVIDIA Jetson Nano technology.
IoT Security Paradigms and Applications: Research and Practices (Computational Intelligence in Engineering Problem Solving)
by Bharat Bhushan Narayan C. Debnath Sudhir Kumar SharmaIntegration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment
IoT Sensor-Based Activity Recognition: Human Activity Recognition (Intelligent Systems Reference Library #173)
by Md Atiqur Ahad Anindya Das Antar Masud AhmedThis book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.
IoT Sensors, ML, AI and XAI: Empowering A Smarter World (Smart Sensors, Measurement and Instrumentation #50)
by Biswajeet Pradhan Subhas MukhopadhyayThis book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.
IoT Sensors: An Exploration of Sensors for Internet of Things (Series in Sensors)
by Vinod Kumar KhannaThis book introduces the basics of the Internet of Things (IoT) and explores the foundational role ofsensors in IoT applications. The IoT is a network of devices and objects: sensors, actuators, hardware,software, human beings, domestic appliances, health monitoring equipment, and other thingsconnected to the internet, which is designed to operate in a coordinated fashion to receive, process,and interpret signals and take appropriate action.It provides a seamless real-time interface between the physical and digital worlds by integratingsensors with networking, computation, and actuation facilities. This book sketches a perspective ofthe IoT with sensors as the focus of attention. Diverse applications of the IoT that are destined tomake an impact on our everyday lives in the near future are discussed.It presents a comprehensive overview of the most recent sensor technologies used in the IoT tokeep the reader abreast of the current advances at the frontiers of knowledge.The book will cater to student and professional audiences, and will be useful for postgraduate andPh.D. students studying physics, engineering, and computer science as well as researchers, engineers,and industrial workers engaged in this fast-progressing field.Key Features:• Explains the basic concepts and important terms of ‘Internet of Things’ in simple language• Provides an up-to-date coverage of the key sensors used in IoT applications• Explores IoT applications in smart cities, smart agriculture, smart factory, and many more
IoT Standards with Blockchain: Enterprise Methodology for Internet of Things
by Venkatesh UpadristaImplement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace —the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy.Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It’s an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model.With IoT thoroughly covered, you’ll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You’ll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you’ll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. IoT Standards with Blockchain also provides perspective on how and when to apply AI in an IoT Context. In the end, you’ll have a solid methodology to execute large scale, enterprise-level IoT implementations. You’ll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better. What You'll LearnFacilitate IoT interoperability with best practicesImplement IoT platform securityFeed data and analytics to AI modelsWho This Book Is ForC-suite leaders and IT program managers across all industries, including manufacturing (Industry 4.0), logistics, oil and gas, transportation, energy, mining and metals, aviation, pharmaceuticals, medical devices, and hospitality.
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers (Communications in Computer and Information Science #1325)
by Albert Bifet Joao Gama Sepideh Pashami Moamar Sayed-Mouchawe Holger Fröning Franz Pernkopf Gregor Schiele Michaela BlottThis book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.
IoT Supply Chain Security Risk Analysis and Mitigation: Modeling, Computations, and Software Tools (SpringerBriefs in Computer Science)
by Quanyan Zhu Junaid Farooq Timothy KierasThis SpringerBrief introduces methodologies and tools for quantitative understanding and assessment of supply chain risk to critical infrastructure systems. It unites system reliability analysis, optimization theory, detection theory and mechanism design theory to study vendor involvement in overall system security. It also provides decision support for risk mitigation.This SpringerBrief introduces I-SCRAM, a software tool to assess the risk. It enables critical infrastructure operators to make risk-informed decisions relating to the supply chain, while deploying their IT/OT and IoT systems.The authors present examples and case studies on supply chain risk assessment/mitigation of modern connected infrastructure systems such as autonomous vehicles, industrial control systems, autonomous truck platooning and more. It also discusses how vendors of different system components are involved in the overall security posture of the system and how the risk can be mitigated through vendor selection and diversification. The specific topics in this book include: Risk modeling and analysis of IoT supply chains Methodologies for risk mitigation, policy management, accountability, and cyber insurance Tutorial on a software tool for supply chain risk management of IoT These topics are supported by up-to-date summaries of the authors’ recent research findings. The authors introduce a taxonomy of supply chain security and discusses the future challenges and directions in securing the supply chains of IoT systems. It also focuses on the need for joint policy and technical solutions to counter the emerging risks, where technology should inform policy and policy should regulate technology development.This SpringerBrief has self-contained chapters, facilitating the readers to peruse individual topics of interest. It provides a broad understanding of the emerging field of cyber supply chain security in the context of IoT systems to academics, industry professionals and government officials.
IoT System Design: Project Based Approach (Smart Sensors, Measurement and Instrumentation #41)
by Subhas Chandra Mukhopadhyay Alice James Avishkar SethThis book presents a step by step design approach to develop and implement an IoT system starting from sensor, interfacing to embedded processor, wireless communication, uploading measured data to cloud including data visualization along with machine learnings and artificial intelligence. The book will be extremely useful towards a hands-on approach of designing and fabricating an IoT system especially for upper undergraduate, master and PhD students, researchers, engineers and practitioners.
IoT System Testing: An IoT Journey from Devices to Analytics and the Edge
by Jon Duncan HagarTo succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion—of IoT—from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI. There are many options for testing IoT qualities based on the criticality of the software and risks involved; each option has positives, negatives, as well as cost and schedule impacts. The book will guide start-up and experienced teams into these paths and help you to improve the testing and quality assessment of IoT systems. What You Will LearnUnderstand IoT software test architecture and planningMaster IoT security testing and test techniquesStudy IoT test lab automation and architecturesReview the need for IoT security, data analytics, AI, Neural Networks and dependability using testing and V&V Who This Book Is ForReaders with basic knowledge of software development who want to learn more about IoT testing and its intricacies, as well as companies moving into the domain of IoT, and even those already deep into the IoT domain will benefit from this book.
IoT Technologies and Wearables for HealthCare: 10th EAI International Conference, HealthyIoT 2023, and 4th EAI International Conference, HealthWear 2023, Bratislava, Slovakia, October 24–26, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #530)
by Ivan Miguel Pires Eftim Zdravevski Venere Ferraro Mario Covarrubias José Manuel Marques Martins de Almeida Norberto Jorge GonçalvesThis book constitutes the refereed proceedings of the 10th EAI International Conference, HealthyIoT 2023, and the 4th EAI International Conference, HealthWear 2023, held in Bratislava, Slovakia, during October 24–26, 2023. The 8 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 26 submissions. The papers are organized in the following topical sections: IoT Technologies for HealthCare and Wearables in Healthcare.
IoT Technologies for Health Care: 8th EAI International Conference, HealthyIoT 2021, Virtual Event, November 24-26, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #432)
by Rossitza Goleva Susanna Spinsante Bruno SilvaThis proceedings constitutes the refereed proceedings of the 8th International Conference on IoT Technologies for Healthcare, HealthyIoT 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented were carefully selected from 40 submissions. The papers are organized in topical sections on security and privacy - software and application security; human-centered computing - ubiquitous and mobile computing; information systems – information retrieval; applied computing - physical sciences and engineering; applied computing – life and medical sciences.
IoT Technologies for HealthCare: 6th EAI International Conference, HealthyIoT 2019, Braga, Portugal, December 4–6, 2019, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #314)
by Rossitza Goleva Nuno M. Garcia Ivan Miguel PiresThis book constitutes the proceedings of the 6th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2019, held in Braga, Portugal, in December 2019. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 10 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers cover topics such as healthcare information systems, consumer health, health informatics, engineering, telecommunications, mathematics and statistics, life and medical sciences, and cloud computing.
IoT Technologies for HealthCare: 7th EAI International Conference, HealthyIoT 2020, Viana do Castelo, Portugal, December 3, 2020, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #360)
by Rossitza Goleva Ivan Miguel Pires Nuno Ricardo da Cruz GarciaThis book constitutes the proceedings of the 7th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2020, held in Viana do Castello, Portugal, in December 2020. Due to Covid-19 pandemic the conference was held virtually. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 12 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are grouped in topics on physical data tracking wearables, applications and systems; psychological data tracking wearables, applications and systems; scenarios and security.
IoT Technologies for HealthCare: 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #456)
by Susanna Spinsante Grazia Iadarola Alessia Paglialonga Federico TramarinThis book constitutes the refereed proceedings of the 9th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2022, which was held in Braga, Portugal, in November 2022.The 11 full papers and 2 invited papers presented in this volume were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and IoT Applications in Research and Clinical Practice.
IoT and AI Technologies for Sustainable Living: A Practical Handbook
by Abid HussainThis book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in sustainable living. The areas of application include agriculture, smart farming, healthcare, bioinformatics, self-diagnosis systems, body sensor networks, multimedia mining, and multimedia in forensics and security. This book provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest patterns, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need for AI and IoT to have a sustainable era of human living. The tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithms, sentimental analysis and Natural Language Processing (NLP). IoT and AI Technologies for Sustainable Living: A Practical Handbook will be a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
IoT and AI in Agriculture: Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
by Tofael AhamedThis book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers.
IoT and AI in Agriculture: Smart Automation Systems for increasing Agricultural Productivity to Achieve SDGs and Society 5.0
by Tofael AhamedThis book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food security (Society 5.0, SDG 1 and 2). With this in mind, the book focuses on the solution through smart Internet of Things (IoT) and AI-based agriculture, such as automation navigation, insect infestation, and decreasing agricultural inputs such as water and fertilizer, to maintain food security while ensuring environmental sustainability. Readers will gain a solid foundation for developing new knowledge through the in-depth research and education orientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current time. Furthermore, the book introduces the smart system for automation challenges that are important for an unmanned system for considering safety and security points. The book is designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science. The greatest care has been made to deliver a diverse range of resource areas, as well as enormous insights into the significance and scope of IoT, AI, and ML in the development of intelligent digital farming and smart agriculture, providing comprehensive information to the intended readers.
IoT and Analytics for Agriculture (Studies in Big Data #63)
by Prasant Kumar Pattnaik Raghvendra Kumar Souvik Pal S. N. PandaThis book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
IoT and Analytics for Sensor Networks: Proceedings of ICWSNUCA 2021 (Lecture Notes in Networks and Systems #244)
by Sheng-Lung Peng Souvik Pal Padmalaya NayakThis book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.
IoT and Analytics in Renewable Energy Systems (Volume 1): Sustainable Smart Grids & Renewable Energy Systems
by O. V. Gnana SwathikaSmart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems
IoT and Analytics in Renewable Energy Systems (Volume 2): AI, ML and IoT Deployment in Sustainable Smart Cities
by Sanjeevikumar Padmanaban K. Karthikeyan O. V. Gnana SwathikaSmart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications
IoT and Big Data Analytics for Smart Cities: A Global Perspective
by Balamurugan Balusamy Gheorghita Ghinea Rajesh Kumar Dhanaraj Sathiyaraj Rajendran Munish SabharwalThe book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: • Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application. • Challenges and Roles of IoT and Big Data in Smart City applications. • Provides Big Data-IoT intelligent smart systems in a global perspective. • Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays. • Gives various solutions and ideas for smart traffic development in smart cities. • Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications. This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.
IoT and Big Data Technologies for Health Care: Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #414)
by Yuan Xu Zheng Zhang Shuihua WangThis two-volume set of LNICST 414 and 415 constitutes the refereed post-conference proceedings of the 2nd International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2021, which took place in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 79 revised full papers were carefully reviewed and selected from 165 submissions. The papers are arranged thematically as follows: Integrating healthcare with IoT; Information fusion for the devices of IoT; AI-based internet of medical things.
IoT and Big Data Technologies for Health Care: Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #415)
by Yuan Xu Zheng Zhang Shuihua WangThis two-volume set of LNICST 414 and 415 constitutes the refereed post-conference proceedings of the 2nd International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2021, which took place in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 79 revised full papers were carefully reviewed and selected from 165 submissions. The papers are arranged thematically as follows: Integrating healthcare with IoT; Information fusion for the devices of IoT; AI-based internet of medical things.