Open Access
SHS Web Conf.
Volume 139, 2022
The 4th ETLTC International Conference on ICT Integration in Technical Education (ETLTC2022)
Article Number 03016
Number of page(s) 10
Section Topics in Computer Science
Published online 13 May 2022
  1. S. P. Yogo, Interviewee, Kabar Baik! Terapkan Tilang ETLE, Polda Metro Jaya Berhasil Turunkan Angka Pelanggaran Lalu Lintas. [Interview]. 26 March 2021. [Google Scholar]
  2. H. Rispani and R. A. Johan, “Klasifikasi Jenis Kendaraan Menggunakan Metode Extreme Learning Machine,” JTIM : Jurnal Teknologi Informasi dan Multimedia, vol. 2, no. 4, pp. 273-243, 2021. [Google Scholar]
  3. N. Fadlia and R. Kosasih, “Klasifikasi Jenis Kendaraan Menggunakan Metode Convolutional Neural Network (CNN),” Jurnal Ilmiah Teknologi dan Rekayasa, vol. 24, no. 3, pp. 207-215, 2019. [CrossRef] [Google Scholar]
  4. D. Fiolita, Identifikasi Jenis Mobil Berdasarkan Bentuk Dengan Menggunakan Motode Convolutional Neural Network (CNN), Medan: Universitas Sumetra Utara, 2020. [Google Scholar]
  5. R. M. Awangga and N. A. Batubara, Tutorial Object Detection Plate Number With Convolutional Neural Network (CNN), Bandung: Telkom University, 2020. [Google Scholar]
  6. K. Zakka, “CS231n Convolutional Neural Networks for Visual Recognition,” Standford University, 9 January 2021. [Online]. Available: [Accessed 12 November 2021]. [Google Scholar]
  7. N. Ageishi, F. Tomohide and A. A. Ben, “Real-time Hand-Gesture Recognition based on Deep Neural Network,” in SHS Web of Conferences, Aizu-Wakamatsu, 2021. [Google Scholar]
  8. I. W. Suartika, A. Y. Wijaya and R. Soelaiman, “Klasifikasi Citra Menggunakan Convolutional Neural Network (CNN) pada Caltech 101,” JURNAL TEKNIK ITS, vol. 5, no. 1, pp. A65-A69, 2016. [Google Scholar]
  9. E.N. Arrofiqoh and Harintaka, “The Implementation of Convolutional Neural Network Method for Agricultural Plant Classification in High Resolution Imagery,” Geomatika, vol. 24, no. 2, pp. 61-68, 2018. [CrossRef] [Google Scholar]
  10. S. Ilayah and A. Nilogiri, “Implementasi Deep Learning Pada Identifikasi Tumbuhan Berdasarkan Citra Daun Menggunakan Convolutional Neural Network,” JUSTINDO (Jurnal Sistem & Teknologi Informasi Indonesia), vol. 3, no. 2, pp. 49-56, 2018. [Google Scholar]
  11. A. Ghosh, A. Sufian, F. Sultana, A. Chakrabarti and D. De, Fundamental Concepts of Convolutional Neural Network, India: ResearchGate, 2020. [Google Scholar]
  12. B. Y. Phiadelvira, Klasifikasi Kanker Serviks Berdasarkan Citra Kolposkopi Menggunakan Convolutional Neural Network (CNN) Model AlexNet, Surabaya: Universitas Islam Negeri Sunan Ampel, 2021. [Google Scholar]
  13. Y. Ho and S. Wookey, The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling, California: IEEE Access, 2017. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.