Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving

Zhumakhan Nazir, Vladislav Yarovenko, Jurn-Gyu Park. Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XV. Volume 1969 of Communications in Computer and Information Science, pages 191-203, Springer, 2023. [doi]

@inproceedings{NazirYP23-0,
  title = {Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving},
  author = {Zhumakhan Nazir and Vladislav Yarovenko and Jurn-Gyu Park},
  year = {2023},
  doi = {10.1007/978-981-99-8184-7_15},
  url = {https://doi.org/10.1007/978-981-99-8184-7_15},
  researchr = {https://researchr.org/publication/NazirYP23-0},
  cites = {0},
  citedby = {0},
  pages = {191-203},
  booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XV},
  editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
  volume = {1969},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-99-8184-7},
}