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Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications
The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.
Proceedings of First International Conference on Mathematical Modeling and Computational Science
This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the First International Conference on Mathematical Modeling and Computational Science (ICMMCS 2020), held in Pattaya, Thailand, during 14–15 August 2020. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, and Internet of things (IoT).
International Conference on Innovative Computing and Communications
This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science
The volume is a collection of high-quality, peer-reviewed research papers presented at the Third International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023), held during 24 – 25 February 2023 in hybrid mode. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high performance computing, network and device security, Internet of Things (IoT).
Sustainability in Industry 5.0
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 cars. • Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains. • Discusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical robotics. • Explains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0. • Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0. The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering.
Intelligent Engineering Applications and Applied Sciences for Sustainability
Engineering plays a major role in solving real-world problems, from small inconveniences to societal or global concerns around food scarcity, water shortages, environmental damage, problems in housing or infrastructure and more. In today's rapidly evolving world, the development of the latest generation of engineering and technology is crucial for maintaining productivity, innovation, and improving our overall quality of life. Intelligent Engineering Applications and Applied Sciences for Sustainability is an essential research book that serves as a compilation of cutting-edge research and advancements in engineering, science, and technology, and more importantly, how the application of these...
Smart Sensors for Industry 4.0
Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industr...
Examining the Metaverse in Healthcare: Opportunities, Challenges, and Future Directions
The metaverse is not merely a futuristic concept but a tangible force that, when harnessed, can revolutionize patient experiences, care delivery, and outcomes. The global market projection foresees a staggering CAGR of 35.28% and a valuation of $54.47 billion by 2030. Augmented reality (AR) and virtual reality (VR) technologies have propelled medical training, teaching modules, and surgical procedures to unprecedented precision. However, these advancements are not without their challenges. Examining the Metaverse in Healthcare: Opportunities, Challenges, and Future Directions delves into the intricacies of this technological paradigm shift, dissecting the opportunities, challenges, and future directions it presents. The book navigates the complexities of integrating these technologies, exploring how the metaverse builds upon existing concepts such as Virtual Clinics, AI utilization, augmented reality, Human Digital Twins, medical simulations, and robotics. It examines the impact on patient and clinician experiences, identifying the gaps and obstacles that must be overcome.
