—The rapid expansion of e-learning systems has transformed modern education by generating large volumes of student interaction data, creating new opportunities for monitoring and predicting academic performance. However, accurately measuring student achievement in digital learning environments remains challenging due t...
S. Praveen, N. S. K. M. K. Tirumanadham, Sri Krishna Adusumalli et al.· Journal of Advances in Infor...· 0 citations
The use of advanced pre-processing methods, feature selection, hyperparameter optimization, and ensemble learning methods in this study provides a holistic solution for breast cancer diagnosis. The technique employs the synthetic minority over-sampling technique (SMOTE) to rebalance the dataset, along with the interqua...
R. Merugu, Yaramala Vijay Bhaskar Reddy, Vijaya Chandra Jadala et al.· Mathematical and Computation...· 0 citations
A novel convolutional neural network architecture for efficient tumor classification by integrating multi-scale fusion techniques with dual-path attention is presented, making it a great fit for resource-constrained medical devices that need to be deployed in real-time.
S. Praveen, Shaik Salma Begum, P. Padmavathi et al.· Journal of Advances in Infor...· 0 citations
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