Author:
An Yaohui,Wang Xinkai,Wu Wei,Lei Jiayu
Publisher
Springer Nature Singapore
Reference21 articles.
1. Zhang, Z., He, T., Zhu, M., Sun, Z., Shi, Q., Zhu, J., Lee, C.: Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications. NPJ Flexible Electron. 4(1), 29 (2020)
2. Chen, M., Challita, U., Saad, W., Yin, C., Debbah, M.: Artificial neural networks-based machine learning for wireless networks: a tutorial. IEEE Commun. Surveys Tutorials 21(4), 3039–3071 (2019)
3. Herasymova, A., Chumachenko, D., Padalko, H.: Development of intelligent information technology of computer processing of pedagogical tests open tasks based on machine learning approach. In: MoMLeT+ DS, pp. 121–131 (2020)
4. Chen, F., Du, Y., Qiu, T., Xu, Z., Zhou, L., Xu, J., Sun, J.: Design of an intelligent variable-flow recirculating aquaculture system based on machine learning methods. Appl. Sci. 11(14), 6546 (2021)
5. Tai, Y., Gao, B., Li, Q., Yu, Z., Zhu, C., Chang, V.: Trustworthy and intelligent covid-19 diagnostic iomt through xr and deep-learning-based clinic data access. IEEE Internet Things J. 8(21), 15965–15976 (2021)