An intelligent college English level 4 pass rate forecasting model using machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09221-6.pdf
Reference38 articles.
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2. Abidin AFZ, Darmawan MF, Osman MZ et al (2019) Adaboost-multilayer perceptron to predict the student’s performance in software engineering. Bull Electr Eng Inform 8(4):1556–1562
3. Adekitan AI, Noma-Osaghae E (2019) Data mining approach to predicting the performance of first year student in a university using the admission requirements. Educ Inf Technol 24(2):1527–1543
4. Ali, M., Yin, B., Kumar, A., Sheikh, A.M. et al. 2020, July. Reduction of Multiplications in Convolutional Neural Networks. In 2020 39th Chinese Control Conference (CCC) (pp. 7406–7411). IEEE. doi: https://doi.org/10.23919/CCC50068.2020.9188843.
5. Alshamsi A, Bayari R, Salloum S (2020) Sentiment analysis in English texts. Adv Sci Technol Eng Syst J 5(6):1683–1689
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