Dropout prediction model for college students in moocs based on weighted multi-feature and svm

Z Yujiao, AL Weay, S Shaomin… - Journal of Informatics …, 2023 - journals.mmupress.com
Due to the COVID-19 pandemic, MOOCs have become a popular form of learning for
college students. However, unlike traditional face-to-face courses, MOOCs offer little faculty …

An optimization algorithm for computer-aided diagnosis of breast Cancer based on support vector machine

Y Dou, W Meng - Frontiers in Bioengineering and Biotechnology, 2021 - frontiersin.org
As one of the most vulnerable cancers of women, the incidence rate of breast cancer in
China is increasing at an annual rate of 3%, and the incidence is younger. Therefore, it is …

[HTML][HTML] Analysis on Correlation Model Between Fracture Network Complexity and Gas-Well Production: A Case in the Y214 Block of Changning, China

Z Gu, B Liu, W Liu, L Liu, H Wei, B Yu, L Dong, P Zhong… - Energies, 2024 - mdpi.com
The fracture network of the Y214 block in the Changning area of China is complex, and
there are significant differences in the productivity of different shale gas wells. However …

Fritz-John optimality condition in fuzzy optimization problems and its application to classification of fuzzy data

F Shi, G Ye, W Liu, D Ghosh - arXiv preprint arXiv:2308.01914, 2023 - arxiv.org
The main objective of this paper is to derive the optimality conditions for one type of fuzzy
optimization problems. At the beginning, we define a cone of descent direction for fuzzy …

Generalized Hukuhara Hadamard derivative of interval-valued functions and its applications to interval optimization

RS Chauhan, D Ghosh, QH Ansari - Soft Computing, 2024 - Springer
In this article, we study the notion of gH-Hadamard derivative for interval-valued functions
(IVFs) and apply it to solve interval optimization problems (IOPs). It is shown that the …