Pradeep Tomar – författare

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability.

The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.

Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability.The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.- Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things- Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Artificial Intelligence (AI) to the Internet of Medical Things (IoMT) is not just a slight enhancement of healthcare but a paradigm shift. Biomedical Applications of AI and IoMT in Smart Healthcare is a pioneering investigation of this change, filling the divide between highly complex computational methods and the practical clinical applications. This volume includes the most promising products to transform modern medicine, based on real-time monitoring of patients and mental health, to early detection of diabetes, hepatitis C, and skin cancers. This book, edited by a renowned group of professionals, Prashant Upadhyay, Pradeep Tomar, Fadi Al-Turjman and Satya Prakash Yadav, is an assemblage of research work around the world that explores practical applications as well as analytical frameworks. The topics addressed in chapters are quite broad, such as AI-based virtual tutors to learn medicine, HOG-based eye-tracking interfaces, hybrid deep learning networks to diagnose melanoma, and optimized neural networks to diagnose diseases. The book is not only focused on the level of sophistication in technology but also on the accessibility, equity, and the health impact on the world. This volume provides a valuable and timely guide to the ecosystem of the IoMT whether you are a researcher, biomedical engineer, health professional or student of digital health technologies. It shows how smart systems are turning healthcare into a more predictive, personalized and pervasive one algorithm at a time. Key Features: Varied Disease Coverage- Covers specialized AI/IoMT models of diabetes, cervical cancer, hepatitis C, monkeypox, melanoma, asthma, blood group classification, demonstrating a wide clinical applicability.Real-World IoMT Integration – A chapters deal with real-time data analysis, patient monitoring, wearable devices, and edge-based fitness coaching with geospatial technology and small language models.State-of-the-art AI and ML Approaches – Shows ensemble, transfer learning (ResNet-50 + SVM), perceptron optimization (Penguin Optimization Algorithm), and HOG-based face landmark detection.International & Multidisciplinary Authorship - The works of various universities and research centers in India, Turkey, and others will be involved, which will guarantee a multinational outlook to the topic of smart healthcare innovation.Bridging Research and Education - Unique focus on AI-powered medical education, virtual tutors, and simulation technologies, which makes it useful in both an academic and clinical training setting.

This book discusses key concepts such as multi-agent systems, agent communication, and distributed problem-solving. The readers will gain an understanding of how these agents interact within a network, sharing information and resources to make decentralized decisions. The text will also cover the theoretical underpinnings of artificial distributed intelligence, including the principles of distributed computing and the algorithms that facilitate cooperation among agents. This book:Explains how artificial distributed intelligence leverages the coordination and collaboration of multiple autonomous agents to solve complex problems that are beyond the capabilities of a single agent.Key concepts such as multi-agent systems, agent communication, and distributed problem-solving are covered in depth.Provides a thorough exploration of the foundational principles and key concepts of artificial distributed intelligence.Showcases potential risks associated with artificial distributed intelligence, including biases in artificial intelligence algorithms, the implications of autonomous decision-making, and the need for transparency and accountability in artificial intelligence systems.Illustrates advanced topics such as the integration of blockchain and quantum computing with artificial distributed intelligence.This text is written for senior undergraduate students, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and distributed computing.

The book starts with an overview of the role of cities in climate change and environmental pollution worldwide, followed by the concept description of smart cities and their expected features, focusing on green technology innovation. This book explores the energy management strategies required to minimize the need for huge investments in high-capacity transmission lines from distant power plants. A new range of renewable energy technologies modified for installation in cities like small wind turbines, micro-CHP and heat pumps are described. The overall objective of this book is to explore all the green and smart technologies for designing green smart cities.

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of "smart" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments.Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

This book constitutes selected and revised papers of the First International Conference on  Artificial Intelligence and Sustainable Computing for Smart City, AIS2C2 2021, held in Greater Noida, India, in March 2021. Due to the COVID-19 pandemic the conference was held online. The 17 full papers and 3 short papers included were thoroughly reviewed and selected from 204 submissions. They are organized in the following topical sections: ​sentimental and emotions analysis for smart cities; smart specialization strategies for smart cities; security in smart cities; advances applications for future smart cities; healthcare in smart cities; machine learning applications in smart cities.