Arief Koesdwiady - researchr alias

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Viewing Publication 1 - 8 from 8

2018

Large-Scale Traffic Flow Prediction Using Deep Learning in the Context of Smart MobilityArief Koesdwiady. PhD thesis, University of Waterloo, Ontario, Canada, 2018. [doi]

Non-Stationary Traffic Flow Prediction Using Deep LearningArief Koesdwiady, Safaa M. Bedawi, Chaojie Ou, Fakhri Karray. vtc 2018: 1-5 [doi]

Methods to Improve Multi-Step Time Series PredictionArief Koesdwiady, Alaa El Khatib, Fakhri Karray. ijcnn 2018: 1-8 [doi]

2017

Recent Trends in Driver Safety Monitoring Systems: State of the Art and ChallengesArief Koesdwiady, Ridha Soua, Fakhreddine Karray, Mohamed S. Kamel. tvt, 66(6):4550-4563, 2017. [doi]

End-to-End Deep Learning for Driver Distraction RecognitionArief Koesdwiady, Safaa M. Bedawi, Chaojie Ou, Fakhri Karray. iciar 2017: 11-18 [doi]

2016

Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning ApproachArief Koesdwiady, Ridha Soua, Fakhreddine Karray. tvt, 65(12):9508-9517, 2016. [doi]

Big-data-generated traffic flow prediction using deep learning and dempster-shafer theoryRidha Soua, Arief Koesdwiady, Fakhri Karray. ijcnn 2016: 3195-3202 [doi]

2015

Driver Inattention Detection System: A PSO-Based Multiview Classification ApproachArief Koesdwiady, Ramzi Abdelmoula, Fakhri Karray, Mohamed S. Kamel. itsc 2015: 1624-1629 [doi]

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