In internet of things (IoT) applications, wireless connectivity is a key factor, particularly those that need to be in transition, or where wired communication is not effective or practicable. For top-notch connectivity of the Narrowband IoT (NB-IoT) standard, the 900MHz frequency is generally used by most of the vendors. The radiation quality not only depends on the antenna geometry but on immediate surroundings. Additionally, the IoT product itself and the user of the product can strongly affe...
Sustainability in Industry 5.0 (Computational Methods for Industrial Applications)
The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0.Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving carsHighlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different busi...
Exploring Temporal Analytics in Fog Cloud Frameworks for IoT Applications
by Munish Bhatia
IoT, Machine Learning and Data Analytics for Smart Healthcare
Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare....
SMARTer Homes: Thoughts & Reflections
The food industry is experiencing a digital transformation across the entire supply chain, from farm to fork. This book offers comprehensive insights into the challenges and opportunities faced, specifically examining the application of the Internet of Things. The authors analyse the benefits and the related threats from the perspective of the participants of the entire supply chain, including consumers. Taking the reader on a journey, this book begins with an analysis of technology use in far...
Introduction to Cybersecurity in the Internet of Things
by Keke Gai, Jing Yu, and Liehuang Zhu
This book addresses the security challenges facing the rapidly growing Internet of Things (IoT) industry, including the potential threats and risks arising from its complex architecture. The authors discuss the overall IoT architecture, covering networking, computing, and security threats and risks to hardware such as sensors, actuators, and portable devices, as well as infrastructure layers. They cover a range of technical concepts such as cryptography, distributed storage, and data transmissi...
Big Data Analytics in Fog-Enabled IoT Networks
The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks:...
Exploring the World of Data Science and Machine Learning
by Nibedita Sahu
This book constitutes the refereed proceedings of the 8th EAI International Conference on IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis. The 17 full papers and 10 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: Next generation wireless networks, Internet of Things, Artificial Intelligence, Wireless Communications, Vehicular Networks, Resource Optimization, Satellite co...
Artificial Intelligence and Machine Learning for Smart Community
Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities.Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligen...
Advanced Applications of Generative AI and Natural Language Processing Models
The rapid advancement of technology in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and generative AI, presents a challenge for academic scholars to remain informed with the most current information and with the latest techniques and applications. The lack of comprehensive resources also hinders researchers' ability to gain a deep understanding of these subjects and effectively implement these technologies. Advanced Applications of Generative AI and Natural Lan...
Emerging Technologies for Securing the Cloud and IoT
In an era marked by the transformative rise of cloud computing and the Internet of Things (IoT), our technological landscape has undergone a revolutionary progression. This convergence has brought unparalleled convenience and connectivity, redefining the way we interact with data and devices. However, alongside these remarkable advancements, a pressing concern has emerged – the vulnerability of these systems to security breaches. As cloud services become integral to our daily lives and the IoT p...
Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality
In an era where technology and hospitality converge, the models of travel and lodging are undergoing a transformative shift known as hybrid hospitality. As modern travelers' expectations evolve and digital transformation becomes a cornerstone across industries, the infusion of technology into hospitality is not merely an option but an imperative. A comprehensive resource is needed to explore the compelling forces driving the demand for enhanced technological capabilities within hybrid hospitalit...
Artificial Intelligence Framework For Malware Detection And Classification On Iot Edge
by D Santhadevi
The recent rapid proliferation in hardware, software, and communication technologies has facilitated the spread of interconnected sensors, actuators, and heterogeneous devices to collect data for offering a new class of advanced services characterized by being available anywhere, at any time and for anyone. This ecosystem is referred to as the Internet of Things (IoT). IoT networks collect, store, and exchange a large amount of heterogeneous data. It has already shown promising outcomes in the p...
Blockchain technology presents numerous advantages that include increased transparency, reduced transaction costs, faster transaction settlement, automation of information, increased traceability, improved customer experience, improved digital identity, better cyber security, and user-controlled networks. These potential applications are widespread and diverse including funds transfer, smart contracts, e-voting, efficient supply chain, and more in nearly every sector of society including finance...
Examining the Impact of Deep Learning and IoT on Multi-Industry Applications
Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long...
Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics...
Smart and Agile Cybersecurity for IoT and IIoT Environments
The world we live in today is highly interconnected and has seen a significant rise in the use of the Internet of Things (IoT) and Industrial Internet of Things (IIoT). This digital transformation, while beneficial, has also created new cybersecurity challenges. Cyber threats are becoming more sophisticated and frequent, and individuals and organizations alike must adopt intelligent and agile cybersecurity solutions to safeguard their digital assets. Smart and Agile Cybersecurity for IoT and IIo...