10 citations · 19 across the 6 of their papers we have counts for
7 papers
CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data
S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1
Cardiometabolic diseases remain among the most persistent drivers of preventable morbidity because diabetes, hypertension, and cardiovascular disease frequently co-occur and share…
EduGuard: A Safe RAG-Based LLM Tutor for Programming Education
S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1
Generative AI (GenAI) is increasingly used by students for programming explanation, debugging, and assignment support. Yet unrestricted large language model (LLM) tutors can halluc…
A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
S M Asif Hossain, Ruksat Khan Shayoni, Mohd Ruhul Ameen +3
Prompt injection attacks represent a major vulnerability in Large Language Model (LLM) deployments, where malicious instructions embedded in user inputs can override system prompts…
From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI
Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Salehin Bin Iqbal +2
Brain cancer represents a major challenge in medical diagnostics, requisite precise and timely detection for effective treatment. Diagnosis initially relies on the proficiency of r…
Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
Md. Mahfuzur Rahman, Md Abrar Jahin, Md. Saiful Islam +1
This paper addresses the NP-hard problem of optimizing container handling at ports by integrating Quay Crane Dual-Cycling (QCDC) and dockyard rehandle minimization. We realized tha…
Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
Md Abrar Jahin, Saleh Akram Naife, Fatema Tuj Johora Lima +2
Domestic violence is commonly viewed as a gendered issue that primarily affects women, which tends to leave male victims largely overlooked. This study presents a novel, data-drive…
Exploring Internet of Things Adoption Challenges in Manufacturing Firms: A Delphi Fuzzy Analytical Hierarchy Process Approach
Hasan Shahriar, Md. Saiful Islam, Md Abrar Jahin +4
Innovation is crucial for sustainable success in today's fiercely competitive global manufacturing landscape. Bangladesh's manufacturing sector must embrace transformative technolo…