Nugroho, K., Noersasongko, E., Purwanto, Muljono, & Santoso, H. A. (2019). Javanese gender speech recognition using deep learning and singular value decomposition. In Proc. Int. Seminar Appl. Technol. Inf. Commun. (iSemantic) (pp. 251–254). Institute of Electrical and Electronics Engineers. Piscataway, NJ, USA.
Han, Z., & Wang, J. (2019). Speech emotion recognition based on deep learning and kernel nonlinear PSVM. In Proc. 31st Chin. Control Decis. Conf. (CCDC) (pp. 1426–1430). Institute of Electrical and Electronics Engineers. Piscataway, NJ, USA.
Sarkar, A., Dasgupta, S., Naskar, S. K., & Bandyopadhyay, S. (2018). Says who? Deep learning models for joint speech recognition, segmentation and diarization. In Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP) (pp. 5229–5233). Institute of Electrical and Electronics Engineers. Piscataway, NJ, USA.
Satsangi, M., Yadav, M., & Sudhish, P. S. (2018). License plate recognition: A comparative study on thresholding, OCR and machine learning approaches. In Proc. Int. Conf. Bioinf. Syst. Biol. (BSB) (pp. 58–63). Institute of Electrical and Electronics Engineers. Piscataway, NJ, USA.
D’Orazio, V., Honaker, J., Prasady, R., & Shoemate, M. (2019). Modeling and forecasting armed conflict: AutoML with human-guided machine learning. In Proc. IEEE Int. Conf. Big Data (pp. 4714–4723). Institute of Electrical and Electronics Engineers. Piscataway, NJ, USA.
Zhou, X., Sun, M., Li, G. Y., & Juang, B. F. (2018). Intelligent wireless communications enabled by cognitive radio and machine learning. China Commun., 15(12), 16–48. [Online]. Available: IEEE Xplore
Miller, D. J., Xiang, Z., & Kesidis, G. (2020). Adversarial learning targeting deep neural network classification: A comprehensive review of defenses against attacks. Proc. IEEE, 108(3), 402–433.
Otoum, S., Kantarci, B., & Mouftah, H. T. (2019). On the feasibility of deep learning in sensor network intrusion detection. IEEE Netw. Lett., 1(2), 68–71.
Usama, M., Qadir, J., Raza, A., Arif, H., Yau, K.-L.-A., Elkhatib, Y., ... Al-Fuqaha, A. (2019). Unsupervised machine learning for networking: Techniques, applications and research challenges. IEEE Access, 7, 65579–65615.
Luong, N. C., Hoang, D. T., Gong, S., Niyato, D., Wang, P., Liang, Y.-C., & Kim, D. I. (2019). Applications of deep reinforcement learning in communications and networking: A survey. IEEE Commun. Surveys Tuts., 21(4), 3133–3174.