Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends

Author:   Khaled R. Ahmed ,  Aboul Ella Hassanien
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   945
ISBN:  

9783030656638


Pages:   264
Publication Date:   12 April 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends


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Overview

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.

Full Product Details

Author:   Khaled R. Ahmed ,  Aboul Ella Hassanien
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   945
Weight:   0.427kg
ISBN:  

9783030656638


ISBN 10:   3030656632
Pages:   264
Publication Date:   12 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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