The exponential growth of Artificial Intelligence (AI) has revolutionized sustainable finance, transforming how investors evaluate Environmental, Social, and Governance (ESG) criteria. However, a significant gap persists regarding the practical integration and transparency of these complex algorithmic models into relia...
A. Masum, Md. Abul Kalam Azad, Najmus Saadat et al.· Multidisciplinary Reviews· 0 citations
Introduction Cervical cancer screening relies heavily on manual cytopathological evaluation, which is subjective and prone to inter-observer variability. While deep learning offers automated alternatives, existing models often struggle to capture both global cellular context and fine-grained biological nuances. To addr...
M. Rahman, Md. Tofael Ahmed Bhuiyan, Md Fokrul Islam Khan et al.· Frontiers in Oncology· 0 citations
This study introduces FHT-GraphSAGE, a federated heterogeneous temporal graph learning framework for privacy-preserving financial fraud detection that combines heterogeneous temporal graph construction, a relation-aware GraphSAGE encoder with sinusoidal temporal edge embeddings, and a Federated Averaging optimization s...
S. Islam, Md. Abul Kalam Azad, A. Masum et al.· International Journal of Adv...· 0 citations
Artificial intelligence has become an effective tool for improving agricultural productivity through automated crop disease diagnosis. Brinjal (eggplant) cultivation suffers substantial yield losses from diseases such as Shoot and Fruit Borer, Wet Rot, Fruit Cracking, and Phomopsis Blight, yet reliable field-based diag...
Hasnur Jahan, Abu Kowshir Bitto, Susmoy Biswas et al.· EAI Endorsed Transactions on...· 0 citations
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