Road enforcement monitoring system based on vehicle type recognition using sparse filtering convolutional neural network with layer skipping strategy (SFCNNLS)

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Road enforcement monitoring system based on vehicle type recognition using sparse filtering convolutional neural network with layer skipping strategy (SFCNNLS)

Road Enforcement Monitoring System (REMS) is one of the traffic monitoring systems to monitor the enforcement of a specific route for public transportation in cities. The aim of this system is to automatically and efficiently monitor the enforcement to ensure it is adhered by the traffic users. This...

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Bibliographic Details
Main Authors:	Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi, Ngahzaifa, Ab. Ghani
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. (IEEE) 2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/24574/ http://umpir.ump.edu.my/id/eprint/24574/1/10.%20Road%20enforcement%20monitoring%20system%20based%20on%20vehicle.pdf http://umpir.ump.edu.my/id/eprint/24574/2/10.1%20Road%20enforcement%20monitoring%20system%20based%20on%20vehicle.pdf

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