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Deep Learning and Big Data for Intelligent Transportation

Enabling Technologies and Future Trends

Language EnglishEnglish
Book Paperback
Book Deep Learning and Big Data for Intelligent Transportation Khaled R. Ahmed
Libristo code: 38874440
Publishers Springer Nature Switzerland AG, April 2022
This book contributes to the progress towards intelligent transportation. It emphasizes new data man... Full description
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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.

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About the book

Full name Deep Learning and Big Data for Intelligent Transportation
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 264
EAN 9783030656638
Libristo code 38874440
Weight 427
Dimensions 155 x 235 x 16
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