| 书目名称 | Deep Learning and Big Data for Intelligent Transportation | | 副标题 | Enabling Technologie | | 编辑 | Khaled R. Ahmed,Aboul Ella Hassanien | | 视频video | http://file.papertrans.cn/265/264588/264588.mp4 | | 概述 | Presents recent studies of deep learning and reinforcement learning for intelligent transportation.Focuses on popular topics including processing traffic data, transportation network representation, t | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.. | | 出版日期 | Book 2021 | | 关键词 | Big Data; Computational Intelligence; Big Data and Autonomous Vehicles; Deep Learning for transportatio | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-65661-4 | | isbn_softcover | 978-3-030-65663-8 | | isbn_ebook | 978-3-030-65661-4Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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