—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. P. Praveen, N. S. K. M. K. Tirumanadham, Sri Krishna Adusumalli et al.· Journal of Advances in Infor...· 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. P. Praveen, Shaik Salma Begum, P. Padmavathi et al.· Journal of Advances in Infor...· 0 citations
The results of the framework will validate the radical combination of the structural and the temporal elements of a complex cyber attack MODEL as a possible answer to the challenge of providing a simple, dynamic, and effective scalable solution to the detection of sophisticated cyber disasters in realistic and complex...
Teguh Nurhadi Suharsono, T. Kurniawan, Deshinta Arova Dewi et al.· Discover Computing· 0 citations
This study evaluates four encoding schemes—one-hot, k-mer (substring-based encoding), embeddings, and Position-Specific Scoring Matrix (PSSM) using Convolutional Neural Networks (CNNs) and Long Short-Term Memories (LSTMs) and shows that k-mer encoding achieved the highest accuracy.
T. Kurniawan, Deshinta Arova Dewi, Randy Joy Magno Ventayen· Journal of Advances in Infor...· 0 citations
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