Postpartum depression (PPD) poses a major burden on maternal and child health, especially in low- and middle-income countries where prevalence exceeds 19%. Despite advancements in machine learning for PPD prediction, current approaches are limited by opaque global explanations that lack clinical usefulness at the patie...
Mursalin Islam Emon, Soumen Sikder Shuvo, S. Ayon et al.· 0 citations
The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations performed by specialists. The use of SSL solves the problem of insufficient annotations using unlabeled B-scans; however, most of the current techniq...
Md. Ashraful Hossen Akash, Shyla Afroge, A. al Mamun et al.· 0 citations
Background: ST-Elevated Myocardial Infarction (STEMI) remains a critical cardiovascular emergency requiring prompt and effective intervention.
Objective: This paper presented a comprehensive analysis of 300 STEMI cases managed at Khwaja Yunus Ali Medical College Hospital, a tertiary care center located in a rural regi...
Qamrul Huda Mohammed Sohel, Sam Husnayen, R. Sultana et al.· Journal of National Institut...· 0 citations
This review provides a critical analysis of the molecular mechanisms governing HuNoV infection, immune evasion, and replication, with a focused emphasis on key antiviral targets, inhibitory strategies, and therapeutic development.
Sadia Islam, Sabbir Zia, Simonto Mirza et al.· Therapeutic Advances in Infe...· 0 citations
An attention-enhanced CNN integrated with Explainable Artificial Intelligence (XAI) to achieve reliable and interpretable driver behavior classification is proposed and can be applied in real-time driver monitoring applications.
A. al Mamun, Md Shahidul Islam Shabuz, Mohamed N. Rahaman et al.· Algorithms· 0 citations
An integrated machine learning framework combining evolutionary optimization, multi-objective optimization, and explainable artificial intelligence (XAI) for BFRC strength prediction and mix design optimization is proposed and incorporates a graphical user interface (GUI) deployment to enhance practical usability and s...
A. al Mamun, M. Aburizaiza, W. Sindi et al.· Materials· 0 citations
The proposed framework provides an accurate and explainable approach for rice leaf disease diagnosis in smart agriculture applications and effectively integrates global semantic information with local disease-specific features for improved classification performance.
Mohamed N. Rahaman, A. al Mamun, Md. Kamal Hossen et al.· Computers· 0 citations
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