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Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network

Malaysia has recorded a steady increase in the number of road traffic accidents from year to year at an alarming rate of 5%. Serious injuries due to the accidents, which could lead to permanent disability, might cause a long-term problem to the nation economy-wise. Predicting the number of serious i...

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Bibliographic Details
Main Authors: Nurul Qastalani, Radzuan, Mohd Hasnun Ariff, Hassan, Anwar, P. P. Abdul Majeed, Rabiu Muazu, Musa, Mohd Azraai, M. Razman, Khairil Anwar, Abu Kassim
Format: Conference or Workshop Item
Language:English
Published: Springer Singapore 2020
Subjects:
TA Engineering (General). Civil engineering (General)
TE Highway engineering. Roads and pavements
Online Access:http://umpir.ump.edu.my/id/eprint/27593/1/Predicting%20Serious%20Injuries%20due%20to%20Road%20Traffic1.pdf
http://umpir.ump.edu.my/id/eprint/27593/
https://doi.org/10.1007/978-981-13-9539-0
http://DOI 10.1007/978-981-15-2317-5
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Internet

http://umpir.ump.edu.my/id/eprint/27593/1/Predicting%20Serious%20Injuries%20due%20to%20Road%20Traffic1.pdf
http://umpir.ump.edu.my/id/eprint/27593/
https://doi.org/10.1007/978-981-13-9539-0
http://DOI 10.1007/978-981-15-2317-5

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