BiTransAttnNet, a hybrid deep learning model for early detection and forecasting of local government financial crises, demonstrates strong generalization, robustness, and SHAP-based interpretability analysis of the original fiscal indicators, revealing that expenditure, fiscal revenue, and debt-related variables are th...
Mst Masuma Akter Semi, Md Masud Karim Rabbi, Md Asraful Islam et al.· Discover Artificial Intellig...· 0 citations
Results reveal that the proposed transformer–RNN hybrid effectively captures both semantic depth and temporal relationships in misinformation detection tasks.
Arafat Rohan, Md Asraful Islam, Areyfin Mohammed Yoshi et al.· Scientific Reports· 0 citations
This paper presents a cloud-native, transformer-based multimodal intelligence framework that integrates Large Language Model semantic encoding with deep neural learning to enable automated defect prediction and proactive maintenance of large-scale digital infrastructure.
Mst Masuma Akter Semi, Md Masud Karim Rabbi, K. Ahmed et al.· Multimedia· 0 citations
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