English | 2022 | ISBN: 978-1032428741 | 126 pages | True PDF | 9.72 MB
This book provides basic knowledge of the programming and interfacing of devices with IoT modem and programming. The aim is to explain the basic steps to understand the IoT and its application in agriculture field.
English | 2022 | ISBN: 111985721X | 437 pages | True EPUB | 10.43 MB
CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.
IoT Edge Computing with MicroK8s:
A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms
English | 2022 | ISBN: 1803230630 | 416 Pages | PDF EPUB MOBI (True) | 72 MB
English | 2022 | ISBN: 9815051628 | 192 pages | True PDF | 11.8 MB
Blockchain, whether public or private, is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services.
This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT, before explaining how these technologies, when merged together, provide a transparent, reliable, and secure model for data processing by intelligent devices in various domains.
English | 2023 | ISBN: 978-8770227247 | 306 pages | True PDF | 17.93 MB
This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies.
After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.
English | 2022 | ISBN: 111985721X, 978-1119857211 | 472 pages | True PDF | 50.51 MB
CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.
The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems.
Machine Learning Approaches for Convergence of IoT and Blockchain by Krishna Kant Singh, Akansha Singh, Sanjay Sharma
English | PDF(True) | 2021 | 246 Pages | ISBN : 1119761743 | 17.18 MB
IoT Based Control Networks and Intelligent Systems: Proceedings of 3rd ICICNIS 2022
English | 2023 | ISBN: 9811958440 | 892 Pages | PDF (True) | 31 MB
Colin Dow, "Hands-On Edge Analytics with Azure IoT: Design and develop IoT applications with edge analytical solutions including Azure IoT Edge"
English | 2020 | pages: 253 | ISBN: 1838829903 | PDF | 86,2 mb
English | 2022 | ISBN: 0323917739 | 292 pages | True PDF EPUB | 47.46 MB
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.