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Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends: 945 (Studies in Computational Intelligence, 945) - Tapa dura

Libro 456 de 538: Studies in Computational Intelligence
 
9783030656607: Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends: 945 (Studies in Computational Intelligence, 945)
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ISBN 10: 3030656608 ISBN 13: 9783030656607
Editorial: Springer, 2021

Sinopsis

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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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030656608
ISBN 13 
9783030656607
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
276
Editor
Hassanien Aboul Ella, Ahmed Khaled R.
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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