Uneingeschränkter Zugang

Applications of Machine Learning in Mobile Networking


Zitieren

K. Nugroho, E. Noersasongko, Purwanto, Muljono, and H. A. Santoso, ‘‘Javanese gender speech recognition using deep learning and singular value decomposition,’’ in Proc. Int. Seminar Appl. Technol. Inf. Commun. (iSemantic). Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, 2019, pp. 251–254. Search in Google Scholar

Z. Han and J. Wang, ‘‘Speech emotion recognition based on deep learning and kernel nonlinear PSVM,’’ in Proc. 31st Chin. Control Decis. Conf. (CCDC). Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, 2019, pp. 1426–1430. Search in Google Scholar

A. Sarkar, S. Dasgupta, S. K. Naskar, and S. Bandyopadhyay, ‘‘Says who? Deep learning models for joint speech recognition, segmentation and diarization,’’ in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP). Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, Apr. 2018, pp. 5229–5233. Search in Google Scholar

M. Satsangi, M. Yadav, and P. S. Sudhish, ‘‘License plate recognition: A comparative study on thresholding, OCR and machine learning approaches,’’ in Proc. Int. Conf. Bioinf. Syst. Biol. (BSB). Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, Oct. 2018, pp. 58–63. Search in Google Scholar

V. D’Orazio, J. Honaker, R. Prasady, and M. Shoemate, ‘‘Modeling and forecasting armed conflict: AutoML with human-guided machine learning,’’ in Proc. IEEE Int. Conf. Big Data. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, Dec. 2019, pp. 4714–4723. Search in Google Scholar

X. Zhou, M. Sun, G. Y. Li, and B. F. Juang, ‘‘Intelligent wireless communications enabled by cognitive radio and machine learning,’’ China Commun., vol. 15, no. 12, pp. 16–48, 2018. [Online]. Available: https://ieeexplore-ieeeorg.ezproxy.uniten.edu.my/document/8594714 Search in Google Scholar

D. Côté, ‘‘Using machine learning in communication networks [invited],’’ Search in Google Scholar

J. Opt. Commun. Netw., vol. 10, no. 10, pp. D100–D109, Oct. 2018. Search in Google Scholar

Z. Mammeri, ‘‘Reinforcement learning based routing in networks: Review and classification of approaches,’’ IEEEAccess, vol. 7, pp. 55916–55950, 2019. Search in Google Scholar

D. J. Miller, Z. Xiang, and G. Kesidis, ‘‘Adversarial learning targeting deep neural network classification: A comprehensive review of defenses against attacks,’’ Proc. IEEE, vol. 108, no. 3, pp. 402–433, Mar. 2020. Search in Google Scholar

S. Otoum, B. Kantarci, and H. T. Mouftah, ‘‘On the feasibility of deep learning in sensor network intrusion detection,’’ IEEE Netw. Lett., vol. 1, no. 2, pp. 68–71, Jun. 2019. Search in Google Scholar

A. Shrestha and A. Mahmood, ‘‘Review of deep learning algorithms and architectures,’’ IEEE Access, vol. 7, pp. 53040–53065, 2019. Search in Google Scholar

C. Zhang, P. Patras, and H. Haddadi, ‘‘Deep learning in mobile and wireless networking: A survey,’’ IEEE Commun. Surveys Tuts., vol. 21, no. 3, pp. 2224–2287, 3rd Quart., 2019. Search in Google Scholar

M. Usama, J. Qadir, A. Raza, H. Arif, K.-L.-A. Yau, YElkhatib, A. Hussain, and A. Al-Fuqaha, ‘‘Unsupervised machine learning for networking: Techniques, applications and research challenges,’’ IEEE Access, vol. 7, pp. 65579– 65615, 2019. Search in Google Scholar

N. C. Luong, D. T. Hoang, S. Gong, D. Niyato, P. Wang, Y.-C. Liang, and Search in Google Scholar

D. I. Kim, ‘‘Applications of deep reinforcement learning in communications and networking: A survey,’’ IEEE Commun. Surveys Tuts., vol. 21, no. 4, pp. 3133–3174, 2019. Search in Google Scholar

eISSN:
2956-8323
Sprache:
Englisch