M Karthiga – författare

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.The book:Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical ImagingDiscusses intelligent robotics applications with the integration of automation and artificial intelligenceCovers foundations of the mathematical concepts applied in robotics and industry automation applicationsProvides application of artificial intelligence (AI) in the area of computational intelligenceThe text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures.Examines the role of applied mathematical modeling in the design, analysis, and optimization of biomedical robots and wearable devicesProvides an insightful exploration of cutting-edge developments in robotics and wearable devicesBridges the gap between the areas of mathematics, engineering, and healthcare

Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures. - Examines the role of applied mathematical modeling in the design, analysis, and optimization of biomedical robots and wearable devices- Provides an insightful exploration of cutting-edge developments in robotics and wearable devices- Bridges the gap between the areas of mathematics, engineering, and healthcare

Quantum Cryptography and Annealing for Securing Industrial IoT focuses on the rapidly evolving field of quantum security solutions for Industrial Internet of Things (IIoT) platforms, emphasizing the critical intersection of quantum cryptography, post-quantum cryptography, and their practical applications in IIoT. The book’s primary objective is to drive advancements that significantly intersect quantum cryptography in securing IIoT devices, elevate secure IIoT infrastructures, and optimize the overall delivery. Distinguishing itself by prioritizing practical applications, it offers a nuanced perspective on how technological integrations in quantum cryptosystems are actively employed in real-world scenarios. The authors meticulously examine the role of quantum cryptosystems in the design, analysis, and optimization of IIoT-specific hardware, covering their resilience to physical and side-channel attacks and evaluating performance. This book strikes a balance between theoretical concepts and practical applications, providing insights into the challenges and solutions encountered in applying quantum cryptographical principles to IIoT engineering problems.Presents clear, concise, and reader-friendly quantum cryptographical concepts through the use of accessible language, diagrams, and examples to enhance the learning experienceIncludes real-world examples and case studies, demonstrating the practical applications of quantum cryptographical concepts in the design and development of industrial robots and IIoT devicesCaters to a diverse audience with backgrounds in mathematics, engineering, cybersecurity, quantum computing, and industrial engineering, making the content accessible to a broad range of readers

Quantum Cryptography and Annealing for Securing Industrial IoT focuses on the rapidly evolving field of quantum security solutions for Industrial Internet of Things (IIoT) platforms, emphasizing the critical intersection of quantum cryptography, post-quantum cryptography, and their practical applications in IIoT. The book's primary objective is to drive advancements that significantly intersect quantum cryptography in securing IIoT devices, elevate secure IIoT infrastructures, and optimize the overall delivery. Distinguishing itself by prioritizing practical applications, it offers a nuanced perspective on how technological integrations in quantum cryptosystems are actively employed in real-world scenarios. The authors meticulously examine the role of quantum cryptosystems in the design, analysis, and optimization of IIoT-specific hardware, covering their resilience to physical and side-channel attacks and evaluating performance. This book strikes a balance between theoretical concepts and practical applications, providing insights into the challenges and solutions encountered in applying quantum cryptographical principles to IIoT engineering problems. - Presents clear, concise, and reader-friendly quantum cryptographical concepts through the use of accessible language, diagrams, and examples to enhance the learning experience- Includes real-world examples and case studies, demonstrating the practical applications of quantum cryptographical concepts in the design and development of industrial robots and IIoT devices- Caters to a diverse audience with backgrounds in mathematics, engineering, cybersecurity, quantum computing, and industrial engineering, making the content accessible to a broad range of readers

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

The book:

Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical Imaging Discusses intelligent robotics applications with the integration of automation and artificial intelligence Covers foundations of the mathematical concepts applied in robotics and industry automation applications Provides application of artificial intelligence (AI) in the area of computational intelligence

The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

The book:

Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical Imaging Discusses intelligent robotics applications with the integration of automation and artificial intelligence Covers foundations of the mathematical concepts applied in robotics and industry automation applications Provides application of artificial intelligence (AI) in the area of computational intelligence

The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.The book:Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical ImagingDiscusses intelligent robotics applications with the integration of automation and artificial intelligenceCovers foundations of the mathematical concepts applied in robotics and industry automation applicationsProvides application of artificial intelligence (AI) in the area of computational intelligenceThe text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

Future-proof your hyper-connected infrastructure against the looming quantum threat with this guide to mastering blockchain-driven security frameworks and quantum-resistant architectures essential for safeguarding data integrity in the 6G-powered era.6G networks promise unprecedented speed, capacity, and reliability, enabling a massive expansion of connected devices within the Internet of Things. However, securing this ever-growing network presents significant challenges. While offering unparalleled processing power, quantum computers pose a threat to current encryption methods used in securing data communication. This book explores the need for quantum-resistant solutions for the 6G-powered Internet of Things. Through expert insights and real-world scenarios, it explores how blockchain can be leveraged to ensure data integrity, provenance, and secure device authentication within the 6G IoT. This volume offers comprehensive coverage of this emerging technology and its potential to leverage 6G technology, making it an invaluable resource for the field.

This book ‘Quantum AI-powered and HPC applications for sustainable environment and climate change’ offers an in-depth exploration of how Quantum Artificial Intelligence (AI) -powered and High-Performance Computing (HPC) based technologies can revolutionize our approach to environmental sustainability and climate change mitigation. Through a comprehensive analysis, the book delves into the urgent climate challenges of our era, showcasing the transformative potential of cutting-edge technologies to address these issues effectively.The fundamental chapters provide a foundational understanding of the pressing environmental challenges of the 21st century and the transformative potential of quantum AI-powered and HPC. These chapters explore the power of environmental data analysis, the importance of balancing data security and privacy, and the advancements in federated learning for climate and environmental science. Additionally, they introduce the principles of quantum computing and its revolutionary applications in solving complex environmental problems.The subsequent chapters provide detailed insights into specific applications of quantum AI-powered and HPC in environmental science. Topics include quantum image recognition for precise Earth observation, advancements in extreme weather forecasting, and quantum-enhanced sensing technologies for detecting environmental contaminants. These chapters also cover the optimization of natural resource management, advanced climate modeling powered by quantum computing and HPC, and the importance of explainable AI for building trust and transparency in environmental solutions.The final chapters deal with the broader implications and future directions of quantum AI-powered and HPC applications in promoting environmental sustainability. They examine strategies for improving energy efficiency in quantum computing, ensuring data privacy and security in federated environmental systems, and leveraging quantum and HPC technologies for innovative renewable energy solutions. The book concludes with insights into building a resilient future by adapting to environmental changes and promoting sustainable development through advanced technologies. The book also delves with HPC applications that are useful for environmental sustainability and climate modelling.By addressing these topics, this book aims to bridge the gap between current environmental challenges and the potential of advanced technologies to offer sustainable solutions. It is targeted at researchers, practitioners, policymakers, students, and industry professionals in the fields of environmental science, computer science, and quantum computing, as well as anyone interested in the intersection of technology and environmental sustainability.