Titlebook: Deep Learning and Big Data for Intelligent Transportation; Enabling Technologie Khaled R. Ahmed,Aboul Ella Hassanien Book 2021 The Editor(s

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https://doi.org/10.1007/978-3-642-21708-1oad lighting hinders the ability of drivers to perceive the road conditions as well as its objects which may lead to the accident. We address a problem of synthesizing day-time appearance from the night-time road scene using loss-modified generative adversarial network. Our approach basically makes

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Yngve Dahl,Reidar-Martin Svendsenul results thanks to big data, where data collection and storage are much easier than in past years. However, it can be quite difficult to collect data or find the right data in some cases. On the other hand, even if the desired data is collected enough, training deep neural networks to learn from t

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Athanasios Karapantelakis,Yonghui Guobanks, political rallies, religious events etc. The risk of any abnormal behavior or any security concern arises with the number of people in the crowd. Most of the public places are overcrowded and require crowd count monitoring to avoid any mishappening. It is impossible to appoint personnel at di

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Jessica Arfaa,Yuanqiong (Kathy) Wangs also gets declined while moving at higher pace, which causes judgment mistakes and leads to a crash. Around 30% of road accidents are due to over speeding. There have been various ways to avoid accidents due to over speeding, but none of them can automatically control the speed and customize the r

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https://doi.org/10.1007/978-3-319-07635-5nesses are information-intensive and experience rich data flows. This was achieved mainly via Robotic Process Automation (RPA), but the increased complexity of the Machine Learning (ML) algorithms increased the possibility of integrating classic RPA with Artificial Intelligence (AI), leading to Robo

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Jie Hao,Chengxing Pan,Enxin Zhangifferent big data aspects such as data acquisition, processing, storage, analysis, computing, transmission and security, are discussed by virtue of related research in these domains. With big data for AV being an upcoming research area, the open research issues, important research avenues and ongoin