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Machine learning is part of Artificial Intelligence since its beginning. Certainly, not learning would only allow the perfect being to show intelligent behavior. All others, be it humans or machines, need to learn in order to enhance their capabilities. In the eighties of the last century, learning from examples and modeling human learning strategies have been investigated in concert. The formal statistical basis of many learning methods has been put forward later on and is still an integral part of machine learning. Neural networks have always been in the toolbox of methods. Integrating all the pre-processing, exploitation of kernel functions, and transformation steps of a machine learning ...
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in w...
The interstate integration of power grids provides multiple advantages concerning operation security, integration of renewable energy as well as energy trading. Due to these facts grid interconnections, such as ENTSO-E in Continental Europe, expand continually since its establishment. Due to the increasing scale and distance of interconnected power systems as well as an increasing number of countries involved with increasing complexity of operation, comprehensive R&D and innovations are urgently required to assure reliable and efficient operation of power systems. In this book new tools and methods are presented for monitoring, control and protection of large scale power systems. These tools...
Explore foundational and advanced issues in UAV cellular communications with this cutting-edge and timely new resource UAV Communications for 5G and Beyond delivers a comprehensive overview of the potential applications, networking architectures, research findings, enabling technologies, experimental measurement results, and industry standardizations for UAV communications in cellular systems. The book covers both existing LTE infrastructure, as well as future 5G-and-beyond systems. UAV Communications covers a range of topics that will be of interest to students and professionals alike. Issues of UAV detection and identification are discussed, as is the positioning of autonomous aerial vehic...
The European Telemetry and Test Conference etc2012 was held June 12-14 2012 in the BMW Welt Munich, Germany. Die European Telemetry and Test Conference etc2012 wurde vom 12.- 14. Juni in der BMW Welt München veranstaltet. Alle zwei Jahre treffen sich Experten rund um das Thema Telemetrie zu einer Fachkonferenz.
The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
This book offers crucial solutions and insights on how transportation companies can enhance their cybersecurity management and protect their corporate reputation and revenue from the increasing risk of cyberattacks. The movement of people and goods from one location to another has always been essential to human development and survival. People are now exploring new methods of carrying goods. Transportation infrastructure is critical to the growth of a global community that is more united and connected. The presented cybersecurity framework is an example of a risk-based method for managing cybersecurity risk. An organisation can find opportunities to strengthen and explain its management of c...
This volume constitutes the refereed proceedings of the 13th International Conference on Parallel Computing. The papers are organized into topical sections covering support tools and environments, performance prediction and evaluation, scheduling and load balancing, compilers for high performance, parallel and distributed databases, grid and cluster computing, peer-to-peer computing, distributed systems and algorithms, and more.
This book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Kaohsiung University of Applied Sciences in Taiwan. The book is a valuable resource for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications.