Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data

The advent of the automated and connected vehicle will require the implementation of high-performance communication systems: Cooperative Intelligent Transport Systems (C-ITS). However, controlling and managing these C-ITS is complex. A number of points need to be jointly considered: 1) a high level of performance to guarantee the Quality of Service requirements of vehicular applications (latency, bandwidth, etc.); 2) a sufficient level of security to guarantee the correct operation of applications; and 3) the implementation of an architecture that guarantees interoperability between different communication systems. In response to these issues, this book presents new solutions for the management and control of Intelligent and Cooperative Transport Systems. The proposed solutions have different objectives, ranging from increased safety to higher levels of performance and the implementation of new, more energyefficient mechanisms.

The advent of the automated and connected vehicle will require the implementation of high-performance communication systems: Cooperative Intelligent Transport Systems (C-ITS). However, controlling and managing these C-ITS is complex. A number of points need to be jointly considered: 1) a high level of performance to guarantee the Quality of Service requirements of vehicular applications (latency, bandwidth, etc.); 2) a sufficient level of security to guarantee the correct operation of applications; and 3) the implementation of an architecture that guarantees interoperability between different communication systems. In response to these issues, this book presents new solutions for the management and control of Intelligent and Cooperative Transport Systems. The proposed solutions have different objectives, ranging from increased safety to higher levels of performance and the implementation of new, more energyefficient mechanisms.

Intelligent Transport Systems (ITS) have been a domain of substantial development for more than thirty years, enhancing safety, (energy and fuel) efficiency, comfort, and economic growth. Cooperative Intelligent Transport Systems (C-ITS), also referred to as Connected Vehicles, are a prelude to, and pave the way towards road transport automation. Vehicle connectivity and information exchange will be an important asset for future highly-automated driving. The book provides a comprehensive insight in the state of the art of C-ITS and automated driving, especially addresses the important role of ICT (Information and Communication Technologies) infrastructure, and presents the main achievements (both theory and practice), as well as the challenges in the domain in Europe, the US and Asia/Pacific.

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After spending a long, lust-filled night of wild, animalistic, and sensual lovemaking with the mysterious Native American trapper who rescued him from a snowmobile accident, Dr. Jacy is sure it was all a dream. Unfortunately for Jacy, the spiritwalkers of an ancient tribe have decided to mate a modern man of medical science with a mythical creature and guardian of the night.

This report identifies factors which contribute to collisions that can be addressed by intelligent transport systems technologies in the People’s Republic of China. It examines opportunities for establishing a policy framework for the development and implementation of mobile-communication-based cooperative intelligent transport systems (C-ITS) using connected vehicle-to-vehicle and vehicle-to-road infrastructure technologies. Some C-ITS applications identified and relevant to the People’s Republic of China are cooperative hazard warning systems and enhanced driver awareness and control. Government and industry—particularly the automobile industry—are the key stakeholders to realizing the deployment of C-ITS.