Author:
Irmak Muhammed Ali,Akgün Hakan,Ekşi Emirhan,Öztürk Sefa,Akdeniz Fulya,Savaş Burcu Kır,Becerikli Yaşar
Publisher
Springer International Publishing
Reference31 articles.
1. Akdeniz, F., Becerikli, Y.: Detection of copy-move forgery in audio signal with mel frequency and delta-mel frequency kepstrum coefficients. In: 2021 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 1–6. IEEE, October 2021
2. Akdeniz, F., Becerikli, Y.: Performance comparison of support vector machine, k-nearest-neighbor, artificial neural networks, and recurrent neural networks in gender recognition from voice signals. In: 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 1–4. IEEE, October 2019
3. Asif, M., Ahmad, M.B., Taj, I.A., Tahir, M.: A generalized multi-layer framework for video coding to select prediction parameters. IEEE Access 6, 25277–25291 (2018)
4. Goodfellow, I.J., Bulatov, Y., Ibarz, J., Arnoud, S., Shet, V.: Multi-digit number recognition from street view imager using deep convolutional neural networks (2013). arXiv preprint, arXiv:1312.6082. Accessed 23 July 2020
5. Asif, M., Taj, I.A., Ziauddin, S.M., Ahmad, M.B., Raza, A.: An efficient inter prediction mode selection scheme for advanced video coding based on motion homogeneity and residual complexity. IEEJ Trans. Electr. Electron. Eng. 11, 760–767 (2016)