Lisan Al Amin, Md. Saddam Hossain Mukta, Md. Sezan Mahmud Saikat, Md. Ismail Hossain et al.
The opioid crisis has led to an increased number of drug overdoses in recent years. Sever approaches have been established to predict opioid prescription by heth practitioners. However, due to the complex nature of the problem, the accuracy of such methods is not yet satisfactory. Dependable and...
Lisan Al Amin, Md. Ismail Hossain, Thanh Thi Nguyen, Tasnim Jahan et al.
Recent advances in deepfake technology have created increasingly convincing synthetic media that poses significant challenges to information integrity and social trust. While current detection methods show promise, their underlying mechanisms remain poorly understood, and the large sizes of their mo...
Sharif Abdullah Al Mamun, Rakib Hossain, Md. Jobayer Rahman, Malay Kumar Devnath et al.
A Bayesian analytics framework that precisely quantifies uncertainty offers a significant advance for financial risk management. We develop an integrated approach that consistently enhances the handling of risk in market volatility forecasting, fraud detection, and compliance monitoring. Our probabi...
Md. Muntasir Jahid Ayan, Md. Shahriar Rashid, Tazzina Afroze Hassan, Hossain Md. Mubashshir Jamil et al.
The increasing complexity and frequency of cyberthreats demand intrusion detection systems (IDS) that are not only accurate but also interpretable. This paper presented a novel IDS framework that integrated Explainable Artificial Intelligence (XAI) to enhance transparency in deep learning models. Th...
Md. Ismail Hossain, Lisan Al Amin, Minhaz Uddin Emon, Pooja Chauhan et al.
In this article the affiliation details for Lisan Al Amin, Pooja Vishnu Chauhan, Akhil Rudrabatla & Faisal Quader were incorrectly given as ‘Department of Information Systems, University of Maryland, Baltimore, 21250, USA’ but should have been ‘Department of Information Systems, University of Maryla...
Md Mahbubul Islam, Lisan Al Amin, Md. Abul Kalam Azad, Gazi Sikandar Mainuddin Ahmed et al.
Hydrocarbon (HC) based Compressed Natural Gas (CNG) gas is highly flammable and can be threatening if not maintained and monitored correctly. Failure to detect gas leakage leads to property damage and poses a severe threat to human life. In this paper, we focused on the safety measures of CNG-based ...