28 citations · 49 across the 10 of their papers we have counts for
10 papers
A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
Md. Ehsanul Haque, Md. Saymon Hosen Polash, Rakib Hasan Ovi +3
Grapes are among the most economically and culturally significant fruits on a global scale, and table grapes and wine are produced in significant quantities in Europe and Asia. The…
Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus
Md Kamrul Siam, Md Jobair Hossain Faruk, Jerry Q. Cheng +1
This study presents a novel multi-model fusion framework leveraging two state-of-the-art large language models (LLMs), ChatGPT and Claude, to enhance the reliability of chest X-ray…
Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
Abrar Fahim, Shamik Dey, Md. Nurul Absur +3
Digital systems find it challenging to keep up with cybersecurity threats. The daily emergence of more than 560,000 new malware strains poses significant hazards to the digital eco…
Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes
Aurora Lithe Roy, Md Kamrul Siam, Nuzhat Noor Islam Prova +2
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded by its associated complications such as cardiovascular diseases, kidney failure,…
Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023
C. Estelle Smith, Kylee Shiekh, Hayden Cooreman +8
Because of the rapid development and increasing public availability of Generative Artificial Intelligence (GenAI) models and tools, educational institutions and educators must imme…
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers
Md Kamrul Siam, Huanying Gu, Jerry Q. Cheng
Our everyday lives now heavily rely on artificial intelligence (AI) powered large language models (LLMs). Like regular users, programmers are also benefiting from the newest large…
Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables
Opeyemi Sheu Alamu, Bismar Jorge Gutierrez Choque, Syed Wajeeh Abbs Rizvi +4
Breast cancer remains a significant global health challenge, with prognosis and treatment decisions largely dependent on clinical characteristics. Accurate prediction of patient ou…
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
Opeyemi Sheu Alamu, Md Kamrul Siam
A comparative analysis of deep learning models and traditional statistical methods for stock price prediction uses data from the Nigerian stock exchange. Historical data, including…
Missile detection and destruction robot using detection algorithm
Md Kamrul Siam, Shafayet Ahmed, Md Habibur Rahman +1
This research is based on the present missile detection technologies in the world and the analysis of these technologies to find a cost effective solution to implement the system i…
The Impact of Machine Learning on Society: An Analysis of Current Trends and Future Implications
Md Kamrul Hossain Siam, Manidipa Bhattacharjee, Shakik Mahmud +2
The Machine learning (ML) is a rapidly evolving field of technology that has the potential to greatly impact society in a variety of ways. However, there are also concerns about th…