Blockchain-based Internet of Things
This book presents an overview of the blockchain-based Internet of Things systems, along with the opportunities, challenges, and solutions in diverse fields such as business, education, agriculture, and healthcare. It discusses scalability, security, layers, threats, and countermeasures in blockchain-based Internet of Things network. · Elaborates on the opportunities presented by combining blockchain with artificial intelligence on the Internet of Things systems in the management of food system...
Management, Tourism and Smart Technologies (Lecture Notes in Networks and Systems, #774)
This book presents advances in the research of various entities in the world, which are working on the application of technology or management in tourism. Indeed, one of the sectors hardest hit by the pandemic was tourism, likewise one of the post-pandemic effects is the rapid recovery of the sector, but more importantly is the great innovation that has occurred in marketing strategies for tourism using technology and applying management strategies not only to be more profitable but to have the...
Artificial Intelligence and Speech Technology
The 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19–20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealin...
Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book...
Intelligent Systems and Sustainable Computational Models
The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning....
Advances in IoT and Security with Computational Intelligence (Lecture Notes in Networks and Systems, #755)
The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The boo...
Applications of Artificial Intelligence in 5G and Internet of Things
This is the proceedings of the 1st International Conference (Hybrid) on Applications of AI in 5G and IoT (ICAAI5GI2024). It brings together ground-breaking research and practical insights into integrating Artificial Intelligence within 5G and the Internet of Things (IoT). This compilation highlights the latest advancements and innovative solutions emerging at the intersection of AI, 5G, and IoT technologies. It also delves into a wide array of topics, including the role of AI in enhancing 5G ne...
Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming. You'll learn how to build system architecture for processors, not for operating systems, and you'll discover techniques for dealing with hardware difficulties, changing designs, and manufacturin...
Where and who do we want to be? How might we get there? What might happen if we stay on our current course? The Future of Stuff asks what kind of world will we live in when every item of property has a digital trace, when nothing can be lost and everything has a story. Will property and ownership become as fluid as film is today: summoned on demand, dismissed with a swipe? What will this mean for how we buy, rent, share and dispose of stuff? About what our stuff says about us? And how will this...
This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (IoT), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a val...
This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing....
New Approaches to Data Analytics and Internet of Things Through Digital Twin
Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, a...
Achieving Full Realization and Mitigating the Challenges of the Internet of Things
As the IoT market is booming, several issues are delaying the full realization of the technology. IoT devices, in cybersecurity terms, greatly increase security risk. This means that any scientific work that offers cybersecurity strategies will excite security experts who will be glad to expand their knowledge base on IoT cybersecurity. As a result of the booming of the IoT market, business competitors are jockeying for a piece of the market. This means that solutions from researchers that addre...
Edge Intelligence in the Making
by Sen Lin, Zhi Zhou, and Zhaofeng Zhang
With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of edge computing and AI...
Smart Systems
The focus of this book is to cover the fundamentals, methodological approaches, and diverse applications of smart systems. Smart Systems discusses important topics such as the Internet of Things-enabled smart systems, artificial intelligence, ergonomics, digital twin, and quality assurance frameworks in smart systems. It addresses methodological approaches in diverse sectors such as service, agriculture, product design, and development. This book:Discusses important concepts such as customer sa...
Deep Learning Techniques for Cloud-Based Industrial IoT
Today's business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT tec...
Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT)
Embark on a transformative journey into the intricate realm of Cognitive Internet of Things (CIoT) with the groundbreaking Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT) . As CIoT emerges as a technological force, seamlessly marrying the Internet of Things (IoT) with cognitive computing techniques, it unveils a world of possibilities and challenges. While CIoT propels industries towards greater intelligence with applications like smart traffic detection an...
Emerging Trends in IoT and Computing Technologies
This book includes the proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies (ICEICT-2022) held at Goel Institute of Technology & Management, Lucknow, India.
Recent Trends and Best Practices in Industry 4.0
Industry 4.0 is used interchangeably with the fourth industrial revolution and represents a new stage in the organization asnd control of the industrial value chain. Cyber-physical systems form the basis of industry 4.0 (e.g., 'smart machines'). They use modern control systems, have embedded software systems, can be addressed via IoT (the Internet of Things), and may use extensive data analytics and/or articifical inteligence systems to operate autonomously. The aim of this book is to provide d...
Towards the Integration of IoT, Cloud and Big Data (Studies in Big Data, #137)
This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like st...