Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin et al.
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around ident...
Najmus Sakib Sizan, Diganta Dey, Md. Abu Layek, Md. Ashraf Uddin et al.
As Industry 5.0 emerges, the convergence of advanced technologies like the Internet of Things (IoT) and blockchain is vital in shaping the future of industrial automation. Industry 5.0 emphasizes the collaborative relationship between humans and machines, requiring robust, decentralized systems to e...
Nusrat Jahan, Arifatun Nesa, Md. Abu Layek
Nowadays the most common and incurable neurological disorder disease is Parkinson's disease (PD). This incurable disease is growing terribly. This study determines PD patients on the basis of fine motor symptoms using sketching. We proposed a system where we use spiral and wave sketching that can id...
Md. Alamin Talukder, Md. Abu Layek, Md Aslam Hossain, Aminul Islam et al.
Objective: Accurate segmentation of brain tumors in medical imaging is essential for diagnosis and treatment planning. Current techniques often struggle with capturing complex tumor features and are computationally demanding, limiting their clinical application. This study introduces the attention-b...
Rafiqul Islam, Md. Abu Layek
Mental illnesses, including stress, depression, and anxiety, are pervasive and significantly impact individual well-being. Understanding and identifying these mental states are crucial for mitigating their harmful effects. In this study, we leverage machine learning to advance mental health assessme...
Asad Saleem, Yan Xu, Rehan Ali Khan, Iftikhar Rasheed et al.
Spatial and temporal characteristics of the propagation channel have a significant influence on multiantenna method applicability for fifth‐generation‐ (5G‐) enabled Internet of Things (IoT). In this paper, the statistical characteristics of a novel three‐dimensional (3D) geometric‐based stochastic ...
Md Ashraful Alam, Md Refat Uz Zaman Sajib, Fariya Rahman, Saraban Tahura Ether et al.
BACKGROUND: The rapid advancement of digital technologies, particularly in big data analytics (BDA), artificial intelligence (AI), machine learning (ML), and deep learning (DL), is reshaping the global health care system, including in Bangladesh. The increased adoption of these technologies in healt...
Najmus Sakib Sizan, Diganta Dey, Md. Solaiman Mia, Md. Abu Layek
With cutting-edge technology development, the agricultural landscape is experiencing a revolutionary transformation. The Internet of Things (IoT)-driven Machine Learning (ML)- Blockchain framework 5.0 for agriculture presented in this paper is a ground-breaking system created to revolutionize crop f...
Tania Alam Suchi, Md. Anayt Rabbi, Md. Abu Layek
An unnecessarily increased blood glucose level is a symptom of the metabolic disorder diabetes mellitus (DM). Early diabetes detection is reduce the risk factor of kidney disease, heart failure, liver cirrhosis, it might be hazardous. Our motivation is to developed a machine learning models to forec...
Tarique Mohammed Nasrullah, Md. Manowarul Islam, Md. Ashraf Uddin, Md. Anisuzzaman Khan et al.
Blockchain (BC) is a burgeoning technology that has emerged as a promising solution to peer-to-peer communication security and privacy challenges. As a revolutionary technology, blockchain has drawn the attention of academics and researchers. Cryptocurrencies have already effectively utilized BC tec...
Md. Arafat Hossain Khan, A. S. M. Zahidur Rahman, Tanvir Muntasir, Uzzal Kumar Acharjee et al.
Early voltage is indeed a very simple form of calculation for mathematical ease. But Channel Length Modulation is not actually linear. The non-linear Channel Length Modulation is in fact tells nothing strict about the Early voltage conception of MOSFET. For very short channel devices or thin oxide i...
Raduana Khawla, Md. Alamin Talukder, Md. Abu Layek, Utpal Kanti Das et al.
Cardiovascular disease (CVD) remains a leading cause of mortality worldwide, making accurate and early risk prediction essential for effective preventive care. However, traditional risk assessment models often fail to capture complex nonlinear clinical patterns, suffer from class imbalance, and prov...
Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Md. Abu Layek et al.
Brain tumors are a critical medical challenge, requiring accurate and timely diagnosis to improve patient outcomes. Misclassification can significantly reduce life expectancy, emphasizing the need for precise diagnostic methods. Manual analysis of extensive magnetic resonance imaging (MRI) datasets ...
Md Rafiqul Islam, Riad Hasan, Md Abu Layek, Muhammad Aminur Rahaman
Samiul Alom, Anamul Hoque Tomal, Rukaiya Taha, Shamima Parvez et al.
please cite this paper if you use this dataset: Alom, M. S., Hoque Tomal, M. A., Taha, R., Parvez, S., Layek, M. A., Mohsin, M., & Talukder, M. A. (2025). An Explainable Triple-Layered Ensemble Model for Early Prediction of Suicide Risk Using Machine Learning. Engineering Reports, 8(1), e70574. ...