Open Access
Issue |
E3S Web Conf.
Volume 484, 2024
The 4th Faculty of Industrial Technology International Congress: Development of Multidisciplinary Science and Engineering for Enhancing Innovation and Reputation (FoITIC 2023)
|
|
---|---|---|
Article Number | 02010 | |
Number of page(s) | 9 | |
Section | Information System And Technology Advancement | |
DOI | https://doi.org/10.1051/e3sconf/202448402010 | |
Published online | 07 February 2024 |
- G. J. Fernandez, “SISTEM PERNAFASAN, ” FAKULTAS KEDOKTERAN UNIVERSITAS UDAYANA (2017) [Google Scholar]
- C. Wang, D. Chen, L. Hao, X. Liu, Y. Zeng, J. Chen and G. Zhang, “Pulmonary image classification based on inception-v3 transfer learning model, ” IEEE Access, vol. 7, p. 146533–146541 (2019) [CrossRef] [Google Scholar]
- P. Pratama, R. Teguh, A. Sahay and V. Wilentine, “Deteksi COVID-19 Berdasarkan Hasil Rontgen Dada (Chest Xray) Menggunakan Python, ” JOINTECOMS (Journal of Information Technology and Computer Science), pp. 58-67 (2021) [CrossRef] [Google Scholar]
- N. Dominic, Daniel, T. W. Cenggoro and A. Budiarto, “TRANSFER LEARNING USING INCEPTION-RESNET-V2 MODEL TO THE AUGMENTED NEUROIMAGES DATA FOR AUTISM SPECTRUM DISORDER CLASSIFICATION, ” Computer Science Department, BINUS Graduate Program Master of Computer Science Program (2021) [Google Scholar]
- V. D. Nguyen, N. D. Bui and H. K. Do, “Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention, ” Sensors 2022 (2022) [Google Scholar]
- C. M. Sharma, L. Goyal, V. M. Chariar and N. Sharma, “Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing, ” Journal of Healthcare Engineering (2022) [Google Scholar]
- A. K. Gangwar and V. Ravi, “Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning, ” Springer (2020) [Google Scholar]
- C. Szegedy, S. Loffe, V. Vanhoucke and A. A. Alemi, “Inception-v4, inception-ResNet and the impact of residual connections on learning, ” 31st AAAI Conference on Artificial Intelligence, AAAI 2017, p. 4278–4284 (2017) [Google Scholar]
- S. Mutmainah, “PENANGANAN IMBALANCE DATA PADA KLASIFIKASI KEMUNGKINAN PENYAKIT STROKE, ” Jurnal SNATi, pp. 10-16, (2021) [Google Scholar]
- A. S. &. A. Subekti, “Penerapan Metode Random Over-Under Sampling dan Random Forest Untuk Klasifikasi Penilaian Kredit, ” Jurnal Informatika, pp. 175-185 (2018) [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.