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Li, S., & Han, W. (2022). Design of distance education system for ideological and political courses of electronic engineering specialty based on big data. Journal of Interconnection Networks.Search in Google Scholar
Zhang, A., & Liu, F. (2017). Research on the computer-based multi-dimensional ideological and political education of college students. Revista de la Facultad de Ingenieria, 32(8), 303-310.Search in Google Scholar
Wang, K. (2017). Research on multi-dimensional ideological and political education of college students based on computer platform. Revista de la Facultad de Ingenieria, 32(8), 447-454.Search in Google Scholar
Wang, N. (2021). Ideological and political education recommendation system based on ahp and improved collaborative filtering algorithm. Scientific programming(Pt.13), 2021.Search in Google Scholar
Du, Y. (2017). The development of ideological and political education information platform based on web technology. C e Ca, 42(4), 1530-1536.Search in Google Scholar
Feng, L., & Dong, Y. (2022). Teaching quality analysis of college ideological and political education based on deep learning. Journal of Interconnection Networks.Search in Google Scholar
Li, X., Dong, Y., Jiang, Y., & Ogunmola, G. A. (2022). Analysis of the teaching quality of college ideological and political education based on deep learning. Journal of Interconnection Networks, 22(Supp02).Search in Google Scholar
Gao, H. W. (2021). Innovation and development of ideological and political education in colleges and universities in the network era. International Journal of Electrical Engineering Education, 002072092110134.Search in Google Scholar
Su, R. (2017). Evaluation-model-based research on the combination of internet platforms with the ideological and political education in colleges and universities. Revista de la Facultad de Ingenieria, 32(13), 681-686.Search in Google Scholar
Qiao, S., & Zhang, Y. (2017). Research on the interaction path between ideological and political education and sports associations based on fuzzy evaluation theory. Revista de la Facultad de Ingenieria, 32(11), 752-758.Search in Google Scholar
Wang, S. (2017). Construction of mobile teaching platform for the ideological and political education course based on the multimedia technology. International Journal of Emerging Technologies in Learning, 12(9), 156.Search in Google Scholar
Zhang, Q., Wang, Y., & Jiang, J. (2017). Innovative research on ideological and political education under network media based on the fuzzy comprehensive model. Revista de la Facultad de Ingenieria, 32(16), 216-222.Search in Google Scholar
Peng, J. (2017). Research on effectiveness of ideological and political education for college students with data sets. Revista de la Facultad de Ingenieria, 32(13), 590-594.Search in Google Scholar
Di, W., Yun, L., & Jia, C. (2017). Research on the innovation and development model of ideological and political education in we-media environment based on big data. Revista de la Facultad de Ingenieria, 32(16), 351-357.Search in Google Scholar
Zhao, J., & Wang, J. (2017). A design of college ideological and political education management system based on data mining technology. Revista de la Facultad de Ingenieria, 32(14), 73-78.Search in Google Scholar
Tao, Y. (2017). Research on the theoretical thoroughness of ideological and political education under internet age. Revista de la Facultad de Ingenieria, 32(16), 202-208.Search in Google Scholar
Wu, W. (2017). Development and study on ideological and political education management system based on big data. Revista de la Facultad de Ingenieria, 32(14), 847-853.Search in Google Scholar
Weiwei, Z. (2017). Research on the design of interactive ideological and political teaching system based on computer network. Revista de la Facultad de Ingenieria, 32(16), 365-371.Search in Google Scholar
Zhou, J., Wei, Z., Jia, F., & Li, W. (2021). Course ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. Journal of Sensors.Search in Google Scholar
Jiting, Z. (2017). Study on big data combined with self-media education of ideological and politics based on the innovation-driven development model. Revista de la Facultad de Ingenieria, 32(16), 481-488.Search in Google Scholar
Zhou, B., & Ai, L. (2017). Evaluation of teacher-student interaction in ideological and political work with computer network. Revista de la Facultad de Ingenieria, 32(14), 127-131.Search in Google Scholar
Wang, X., Zhang, L., Liu, Y., Zhao, C., & Wang, K. (2022). Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning. Journal of Manufacturing Systems.Search in Google Scholar
Yang, S., Kong, X., Wang, Q., Li, Z., Cheng, H., & Xu, K. (2022). Deep multiple auto-encoder with attention mechanism network: a dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions. Knowledge-based systems(Aug.5), 249.Search in Google Scholar
Zheng, Y., Shao, Z., Gao, Z., Deng, M., & Zhai, X. (2022). Optimizing the online learners’ verbal intention classification efficiency based on the multi-head attention mechanism algorithm. International Journal of Foundations of Computer Science.Search in Google Scholar
Intelligenceneuroscience, C. (2023). Retracted: physical education teaching strategy under internet of things data computing intelligence analysis. Computational Intelligence and Neuroscience, 2023.Search in Google Scholar
Lin, Y. N., Hsia, L. H., & Hwang, G. J. (2022). Fostering motor skills in physical education: a mobile technology-supported icra flipped learning model. Computers & education(Feb.), 177.Search in Google Scholar
Cojocaru, A. M., Cojocaru, M., Jianu, A., Bucea-Manea-Oni, R., Pun, D. G., & Ivan, P. (2022). The impact of agile management and technology in teaching and practicing physical education and sports. Sustainability, 14.Search in Google Scholar
Chen, D., Qin, Y., Qian, Q., Wang, Y., & Liu, F. (2023). Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network. Reliability engineering & system safety.Search in Google Scholar
Gonzlez-Mu±iz, Ana, Daz, I., Cuadrado, A. A., & Garca-Prez, D. (2022). Health indicator for machine condition monitoring built in the latent space of a deep autoencoder. Reliability Engineering and System Safety, 224.Search in Google Scholar
Furini, M., Gaggi, O., Mirri, S., Montangero, M., Pelle, E., & Poggi, F., et al. (2022). Digital twins and artificial intelligence as pillars of personalized learning models. Communications of the ACM(4), 65.Search in Google Scholar
Shi, R., Li, G., Wei, W., & Liu, Z. (2021). Personalized image observation behavior learning in fixation based personalized salient object segmentation. Neurocomputing.Search in Google Scholar