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Cited article:

Traffic Offender Detection System Using Deep Learning Approach

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International Journal of Scientific Research in Science and Technology 63 (2024)
https://doi.org/10.32628/IJSRST5241118

Intelligent Systems Design and Applications

Luís Fabrício de F. Souza, José Jerovane da Costa Nascimento, Cyro M. G. Sabóia, et al.
Lecture Notes in Networks and Systems, Intelligent Systems Design and Applications 715 31 (2023)
https://doi.org/10.1007/978-3-031-35507-3_4

Method of Automated Detection of Traffic Violation with a Convolutional Neural Network

S.R. Ibadov, B.Y. Kalmykov, R.R. Ibadov, et al.
EPJ Web of Conferences 224 04004 (2019)
https://doi.org/10.1051/epjconf/201922404004

Advanced Computing Strategies for Engineering

Mingzhu Wang and Jack C. P. Cheng
Lecture Notes in Computer Science, Advanced Computing Strategies for Engineering 10864 171 (2018)
https://doi.org/10.1007/978-3-319-91638-5_9

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

Jack C.P. Cheng and Mingzhu Wang
Automation in Construction 95 155 (2018)
https://doi.org/10.1016/j.autcon.2018.08.006

Conditions for fixing violations of traffic rules do not pass pedestrians on unregulated pedestrian crossings in automatic mode

Samir R. Ibadov, Boris Y. Kalmykov, Ragim R. Ibadov, et al.
MATEC Web of Conferences 226 04047 (2018)
https://doi.org/10.1051/matecconf/201822604047