ravi vinayakumar (30 Ergebnisse)

paperback. Zustand: Very Good.

Zustand: New. In.

Paperback. Zustand: Brand New. 100 pages. 9.25x6.10x9.21 inches. In Stock.

Zustand: New.

Zustand: new.

Paperback. Zustand: Brand New. 280 pages. 9.00x5.94x9.30 inches. In Stock.

Zustand: New. In.

Zustand: New. In.

Zustand: New.

Zustand: new.

Zustand: New.

Zustand: New.

Paperback. Zustand: Brand New. 300 pages. 9.25x7.50x9.25 inches. In Stock.

Hardcover. Zustand: Brand New. 270 pages. 9.26x6.11x9.49 inches. In Stock.

Taschenbuch. Zustand: Neu. Efficient Data Handling for Massive Internet of Medical Things | Healthcare Data Analytics | Chinmay Chakraborty (u. a.) | Taschenbuch | xiv | Englisch | 2022 | Springer | EAN 9783030666354 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of thestate-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of thestate-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction.The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset.

Hardcover. Zustand: Brand New. 402 pages. 9.25x6.10x1.18 inches. In Stock.

Zustand: New.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive analysis of intersection of significant domains, including information security, 6G technology, and cybersecurity. This reference work addresses gaps in existing literature by providing insights, research findings, and personal evaluations from esteemed scholars in the field. Holographic-type communications (HTC), tactile Internet, connected autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), autonomous healthcare solutions, manufacturing systems, and virtual/augmented/extended reality (VR/AR/XR), along with other cutting-edge applications, will continue to advance with the advent of 6G. The advent of the 6G era has been ushered in by the rapid advancement of communication technologies, promising unprecedented applications and connectivity. As we venture into this unexplored domain, the criticality of cybersecurity resilience cannot be overstated. This book examines and assesses the emerging trends in 6G technology, with a particular focus on the intricate challenges encountered in the realm of cybersecurity. By analyzing the intricate interplay between IoT integration, AI/ML security, quantum communication, and the intricacies of the physical layer, this book endeavors to provide a comprehensive understanding of the perpetually evolving threat landscape. It is reasonable to expect that 6G, similar to its predecessors, will promote advancements in the domain of connectivity and telecommunications through the provision of increased data throughput, decreased latency, and expanded capacity. These developments will promote the development of innovative applications and services, thus increasing the importance of robust cybersecurity protocols. As 6G technology continues to proliferate, it becomes increasingly vital to ensure the security and preservation of data.The primary audience of this book is industrialists, academicians, researchers, and UG/PG students. The secondary audience consists of practitioners, cyberpolice, lawmakers, legal firms, etc. as we are also covering regulatory and ethical considerations in 6G cybersecurity.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive analysis of the significant intersection where human factors and cyber-physical system (CPS) reliability meet. Physical component integration has become essential in a number of industries, including smart infrastructure, health care, transportation, and manufacturing. However, human performance and decision-making inside these complex frameworks also play an important part in determining the reliability of CPS. Key subjects discussed include the role of human factors in CPS reliability, machine learning and deep learning applications in cybersecurity, resilience engineering, cognitive task management, efficient team collaboration and communication, error control, and cybersecurity awareness.The book will be read by professionals and scholars working in engineering, human factors, reliability engineering, cybersecurity, and related topics. In order to obtain a greater knowledge of the crucial role that human factors play in providing the reliability and trustworthiness of CPS, it is also beneficial for students pursuing courses or research in CPS, human computer interface (HCI), and systems engineering.

Zustand: New. Offers a comprehensive understanding of the foundational principles of the Internet of Multimedia Things and its practical applications in IoTProvides practical applications and case studies in the application of IoMT securityDiscu.

Zustand: New.

Hardcover. Zustand: Brand New. 270 pages. 9.26x6.11x9.49 inches. In Stock.

Paperback. Zustand: Brand New. 350 pages. 9.25x7.50x9.25 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - The proliferation of IoT devices and the exponential growth of multimedia brings opportunities and challenges. IoMT has uses in a variety of fields, including healthcare, education, agriculture, communication and entertainment, but IoMT networks are susceptible to security issues that must be addressed. Internet of Multimedia Things Security: Tools and Applications introduces the principles behind the IoMT by exploring three converging three domains: Internet of Things, Data Security, and Multimedia. It covers vulnerabilities such as cyber-attacks, unauthorized access, data breaches, and privacy preservation, and provides case studies to assist research students and engineers in securely incorporate multimedia into their applications.

Taschenbuch. Zustand: Neu. Neuware - Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable.