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Author

Azim Uddin

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Open access Aug 2026

A hybrid deep learning framework for early detection and forecasting of financial crises in local government economies

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. · 0 citations
Open access Jul 2026

Transformer-Based Multimodal Intelligence for Software Defect Detection: A Cloud-Native LLM Framework with Explainable AI for Digital Infrastructure Maintenance

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. · 0 citations

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