Iot Based Models For
DOWNLOAD
Download Iot Based Models For PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Iot Based Models For book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Internet Of Things Iot In 5g Mobile Technologies
DOWNLOAD
Author : Constandinos X. Mavromoustakis
language : en
Publisher: Springer
Release Date : 2016-04-20
Internet Of Things Iot In 5g Mobile Technologies written by Constandinos X. Mavromoustakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-20 with Technology & Engineering categories.
This book reports on the latest advances in the modeling, analysis and efficient management of information in Internet of Things (IoT) applications in the context of 5G access technologies. It presents cutting-edge applications made possible by the implementation of femtocell networks and millimeter wave communications solutions, examining them from the perspective of the universally and constantly connected IoT. Moreover, it describes novel architectural approaches to the IoT and presents the new framework possibilities offered by 5G mobile networks, including middleware requirements, node-centrality and the location of extensive functionalities at the edge. By providing researchers and professionals with a timely snapshot of emerging mobile communication systems, and highlighting the main pitfalls and potential solutions, the book fills an important gap in the literature and will foster the further developments of 5G hosting IoT devices.
Model Based Approaches To The Internet Of Things
DOWNLOAD
Author : Pascal Hirmer
language : en
Publisher: Springer Nature
Release Date : 2022-11-18
Model Based Approaches To The Internet Of Things written by Pascal Hirmer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Computers categories.
This book gives an overview of existing models that cover the whole lifecycle of an IoT application, ranging from its design, implementation, deployment, operation, and monitoring to its final termination and retirement. Models provide abstraction and can help IoT application developers into creating more robust, secure, and reliable applications. Furthermore, adaptation of applications can be eased by using these models, leading to an increased dynamic of the developed IoT applications. In the book, research of the last years in the area of model based approaches to the Internet of Things is described and these approaches are incorporated into the lifecycle of IoT applications. Finally, use cases from different domains are introduced that show how these models could be applied in real-world applications.
Semantic Models In Iot And Ehealth Applications
DOWNLOAD
Author : Sanju Tiwari
language : en
Publisher: Academic Press
Release Date : 2022-09-17
Semantic Models In Iot And Ehealth Applications written by Sanju Tiwari and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-17 with Computers categories.
Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. - Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth - Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies - Covers applications across a range of eHealth technologies, including remote monitoring and mobile health
Artificial Intelligence And Iot Based Technologies For Sustainable Farming And Smart Agriculture
DOWNLOAD
Author : Pradeep Tomar
language : en
Publisher:
Release Date : 2019-12-27
Artificial Intelligence And Iot Based Technologies For Sustainable Farming And Smart Agriculture written by Pradeep Tomar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Artificial intelligence categories.
""This book explores the application and use of future internet ICTs in the smart agriculture sector by Identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture"--Provided by publisher"--
Intelligence Of Things Ai Iot Based Critical Applications And Innovations
DOWNLOAD
Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2021-10-28
Intelligence Of Things Ai Iot Based Critical Applications And Innovations written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Technology & Engineering categories.
This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.
Recent Advances In Internet Of Things And Machine Learning
DOWNLOAD
Author : Valentina E. Balas
language : en
Publisher: Springer Nature
Release Date : 2022-02-14
Recent Advances In Internet Of Things And Machine Learning written by Valentina E. Balas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.
This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Blockchain And Iot Based Smart Healthcare Systems
DOWNLOAD
Author : L. Ashok Kumar, D. Karthika Renuka, Sonali Agarwal, Sheng-Lung Peng
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-02-22
Blockchain And Iot Based Smart Healthcare Systems written by L. Ashok Kumar, D. Karthika Renuka, Sonali Agarwal, Sheng-Lung Peng and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Computers categories.
New technologies like blockchain and Internet of Things (IoT) are constantly improving the state-of-the-art in healthcare services. The trend of keeping medical records in digital formats is also increasing the reliance of modern healthcare service providers on these new technologies. This edited book brings a collection of reviews on blockchain and IoT technologies that are driving innovation in digital and smart healthcare systems. The editors bring an academic and practical approach to assist professionals and readers in understanding computerized healthcare solutions. 16 referenced chapters provide knowledge about fundamental framework, research insights, and empirical evidence for effective smart healthcare applications. The chapters also cover benefits and challenges of specific smart health frameworks, giving an informative overview of the subject. Key themes of the book include: 1. Technological Foundations for Smart Healthcare 2. Blockchain Applications in Healthcare 3. Internet of Things (IoT) in Healthcare 4. Artificial Intelligence (AI) Integration 5. Security, Privacy, and Authentication 6. Medical Imaging and Deep Learning 7. Telemedicine The content in the book is designed to help administrators and healthcare professionals to understand the basics of blockchain tech and IoT in smart healthcare systems and strengthen the competitive advantage of their clinics.
Security Trust And Privacy Models And Architectures In Iot Environments
DOWNLOAD
Author : Lidia Fotia
language : en
Publisher: Springer Nature
Release Date : 2023-04-20
Security Trust And Privacy Models And Architectures In Iot Environments written by Lidia Fotia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-20 with Technology & Engineering categories.
This book is dedicated to the issues of security, trust and privacy models, and architectures in IoT environments. The authors aim to capture the latest research and contributions from academy, industry, and other stakeholders on new security models, architectures, protocols, and standards for ensuring security, privacy, and trustworthiness to IoT systems. The authors discuss the convergence of IoT, software agents, and edge computing to introduce social features into IoT systems, combining trustworthiness and reputation information collected by agents at the edge with security and privacy mechanisms. They also cover experimental and simulated campaigns that evaluate strategies to improve the security and privacy of the IoT world, and at the same time the ability to prevent and deter deceptive behaviors. The book is relevant for researchers, professionals, academics, and students.
Iot In Healthcare And Ambient Assisted Living
DOWNLOAD
Author : Gonçalo Marques
language : en
Publisher: Springer Nature
Release Date : 2021-01-04
Iot In Healthcare And Ambient Assisted Living written by Gonçalo Marques and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Technology & Engineering categories.
This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.
Advanced Analytics And Deep Learning Models
DOWNLOAD
Author : Archana Mire
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-03
Advanced Analytics And Deep Learning Models written by Archana Mire and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Computers categories.
Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.