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Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models., , , , , , , и . IEEE Access, (2021)A novel deep learning based framework for the detection and classification of breast cancer using transfer learning., , , , и . Pattern Recognit. Lett., (2019)A machine learning-based approach for the segmentation and classification of malignant cells in breast cytology images using gray level co-occurrence matrix (GLCM) and support vector machine (SVM)., , , , , и . Neural Comput. Appl., 34 (11): 8365-8372 (2022)Automated Counting of Cells in Breast Cytology Images Using Level Set Method., , , , и . HPCC/SmartCity/DSS, стр. 1578-1584. IEEE, (2018)Smoke removal and image enhancement of laparoscopic images by an artificial multi-exposure image fusion method., , , и . Soft Comput., 26 (16): 8003-8015 (2022)Automatic identification of abnormal blood smear images using color and morphology variation of RBCS and central pallor., , , , , и . Comput. Medical Imaging Graph., (2021)Machine learning for fake news classification with optimal feature selection., , , и . Soft Comput., 26 (16): 7763-7771 (2022)An e-Health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application., , , , , и . Future Gener. Comput. Syst., (2019)Addressing Volterra Partial Integro-Differential Equations through an Innovative Extended Cubic B-Spline Collocation Technique., , и . Symmetry, 15 (10): 1851 (октября 2023)