X. Wang, ``Research on Mental Health Education for College Students,'' International Journal of Social Science and Education Research, Vol. 3, No. 3, pp. 153-157, 2020.

E. E. Fitzsimmons-Craft, C. B. Taylor, M. G. Newman, N. H. Zainal, E. E. Rojas-Ashe, S. K. Lipson, M. L. Firebaugh, P. Ceglarek, К. Койнова, N. Topooco, N. C. Jacobson, A. K. Graham, H. M. Kim, D. Eisenberg, and D. E. Wilfley, ``Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol,'' Contemporary Clinical Trials, Vol. 103, pp. 1-10, 2021.

M. Gibson, N. Anderson, A. Horton, K. Mullions, and A. Reynolds, ``0255 Sleep Hygiene Index: Associations with Sleep and Mental Health in College Students,'' SLEEP, Vol. 45, No. Supplement_1, pp. A114-A115, 2022.

S. P. Becker, A. S. Holdaway, and A. M. Luebbe, ``Suicidal Behaviors in College Students: Frequency, Sex Differences, and Mental Health Correlates Including Sluggish Cognitive Tempo,'' Journal of Adolescent Health, Vol. 63, pp. 181-188, 2018.

W. J. B. W. Hamat, H. M. B. Ishak, K. Hashikura, T. Suzuki, and K. Yamda, ``Detection of Anxiety Expression From EEG Analysis Using Support Vector Machine,'' ECTI Transactions on Electrical Engineering, Electronics, and Communications, Vol. 17, No. 1, pp. 87-94, 2019.

Y. Tan, Q. Zeng, and H. Zhang, ``Research on anxiety detection based on personalized data markers,'' Journal of Physics: Conference Series, Vol. 1948, No. 1, pp. 1-9, 2021.

H. Akbari, M. T. Sadiq, M. Payan, S. S. Esmaili, H. Baghri, and B. Hamed, ``Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO,'' Traitement du Signal, Vol. 38, No. 1, pp. 13-26, 2021.

S. Sardari, B. Nakisa, M. N. Rastgoo, and P. Eklund, ``Audio based depression detection using Convolutional Autoencoder,'' Expert Systems with Applications, Vol. 189, pp. 1-13, 2022.

Y. Fauziah, S. Saifullah, and A. S. Aribowo, ``Design Text Mining for Anxiety Detection using Machine Learning based-on Social Media Data during COVID-19 pandemic,'' Proceeding of LPPM UPN ``Veteran'' Yogyakarta Conference Series 2020 - Engineering and Science Series, Vol. 1, No. 1, pp. 253-261, 2020.

M. Papadakaki, S. Lioliou, V. Kounali, A. Liangou, and J. Chliaoutakis, ``Mental health burden and self-efficacy among undergraduate students in the health sciences,'' European Journal of Public Health, Vol. 31, No. Supplement_3, 2021.

L. R. Derogatis, R. S. Lipman, K. Rickels, E. H. Uhlenhuth, and L. Covi, ``The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory,'' Behavioral Science, Vol. 19, No. 1, pp. 1-15, 1974.

Y. Wang, and G. Sun, ``Oversampling method for intrusion detection based on clustering and instance hardness,'' Journal of Computer Applications, Vol. 41, No. 6, pp. 1709-1714, 2021.

X. Liu, X. Zhao, and W. B. Shangguan, ``Fatigue life prediction of natural rubber components using an artificial neural network,'' Fatigue & Fracture of Engineering Materials and Structures, Vol. 45, No. 6, pp. 1678-1689, 2022.

M. Huang, C. Hong, J. Chen, C. Ma, C. Li, and Y. Huang, ``Prediction of Peak Shear Strength of Rock Joints Based on Back-Propagation Neural Network,'' International Journal of Geomechanics, Vol. 21, No. 6, pp. 1-11, 2021.

N. Panagant, N. Pholdee, S. Bureerat, K. Kaen, A. R. Yıldız, and S. M. Sait, “Seagull optimization algorithm for solving real-world design optimization problems,” Materials Testing, Vol. 62, No. 6, pp. 640-644, 2020.

F. Liu, Y. Sun, G. Wang, and T. Wu, “An Artificial Bee Colony Algorithm Based on Dynamic Penalty and Lévy Flight for Constrained Optimization Problems,” Arabian Journal for Science & Engineering, Vol. 43, No. 12, pp. 1-20, 2018.

H. Yu, M. Zheng, W. Zhang, W. Nie, and T. Bian, ``Optimal design of helical flute of irregular tooth end milling cutter based on particle swarm optimization algorithm,'' Proceedings of the Institution of Mechanical Engineers, Part C. Journal of Mechanical Engineering Science, Vol. 236, No. 7, pp. 3323-3339, 2022.

S. Singh, N. J. Singh, and A. Gupta, ``System sizing of hybrid solar‐fuel cell battery energy system using artificial bee colony algorithm with predator effect,'' International Journal of Energy Research, Vol. 46, No. 5, pp. 5847-5863, 2022.

G. F. Fan, Y. Li, X. Y. Zhang, Y. H. Yeh, and W. C. Hong, ``Short‐term load forecasting based on a generalized regression neural network optimized by an improved sparrow search algorithm using the empirical wavelet decomposition method,'' Energy Science and Engineering, Vol. 11, No. 7, pp. 2444-2468, 2023.

R. Xie, R. Liu, X. B. Liu, J. M. Zhu, and G. Mustafa, ``Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression,'' Journal of Mathematics, Vol. 2021, No. 8, pp. 1-10, 2021.

F. Camastra, V. Capone, A. Ciaramella, A. Riccio, and A. Staiano, ``Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation,'' Environmental Modelling & Software, Vol. 150, pp. 1-7, 2022.

Z. Zhang, Y. Huang, R. Qin, W. Ren, and G. Wen, ``XGBoost-based online prediction of seam tensile strength for Al-Li alloy in laser welding: Experiment study and modelling,'' Journal of Manufacturing Processes, Vol. 64, No. May, pp. 30-44, 2021.