most citedSkin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks

7 citations

8 papers

cs.CL2026

Towards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based Approach

Md Abu Hanif Shaikh, Abdullah Al Shafi

University stakeholders often face difficulties in accessing timely and reliable information, especially in developing countries, where there are very few intelligent support syste…

cs.AI2026

Solving Generalized Grouping Problems in Cellular Manufacturing Systems Using a Network Flow Model

Md. Kutub Uddin, Md. Saiful Islam, Md Abrar Jahin +2

This paper focuses on the generalized grouping problem in the context of cellular manufacturing systems (CMS), where parts may have more than one process route. A process route lis…

cs.CV2026

DLM: A Vision-to-Language Framework for Expert-Level Medical Reasoning through Deep Learning and Large Language Models

Md. Najib Hasan, Imran Ahmad, Sourav Basak Shuvo +4

Medical image classifiers detect gastrointestinal diseases well, but they do not explain their decisions. Large language models can generate clinical text, yet they struggle with v…

eess.SY20261 cited

IoT-enabled Stability Chamber for the Pharmaceutical Industry

Nitol Saha, Md Masruk Aulia, Dibakar Das +1

A stability chamber is essential for pharmaceutical facilities to test the stability and quality of products over time by exposing them to different environmental conditions. This…

eess.SY20264 cited

IoT-Driven Cloud-based Energy and Environment Monitoring System for Manufacturing Industry

Nitol Saha, Md Masruk Aulia, Md. Mostafizur Rahman +1

This research focused on the development of a cost-effective IoT solution for energy and environment monitoring geared towards manufacturing industries. The proposed system is deve…

cs.CR20261 cited

Protected QR Code-based Anti-counterfeit System for Pharmaceutical Manufacturing

Md Masruk Aulia, Nitol Saha, Md. Mostafizur Rahman

The pharmaceutical manufacturing faces critical challenges due to the global threat of counterfeit drugs. This paper proposes a new approach of protected QR codes to secure unique…