Gene expression profiles can tell one cancer from another, but a profile has tens of thousands of genes, and most of them add little to a diagnosis. A large panel is also hard to read and expensive to run in a clinic. This paper asks a simple question. How few genes are enough to separate five common tumor types with h...
Abdullah Al Maimun, Mithun Das, C. Mondal et al.· International Conference Com...· 0 citations
Deep learning has changed how images and text are analyzed, and it is now widely used on gene expression data as well. This paper asks a direct question. On a standard cancer classification task from RNA-Seq expression, does deep learning actually beat simple machine learning, and when does the difference show up. We u...
Mithun Das, Akbor Aziz Susom, Md Azmir Bhuiyan et al.· 2026 International Conferenc...· 0 citations
The rapid growth of network-connected systems has made cyber threat detection a critical priority for modern infrastructures. Traditional signature-based intrusion detection systems (IDSs) struggle to detect novel and evolving attacks, creating the need for intelligent learning-based approaches. This paper presents Sec...
Buddha Dev Sarker, Md Fahim Ahammed, Md Rasheduzzaman Labu et al.· International Conference Com...· 0 citations
Cardiovascular disease is the leading cause of death worldwide, and early, data-driven risk identification can support timely clinical intervention. This paper presents a study of deep learning models for binary heart disease prediction on a large structured clinical dataset of 50,000 records described by 20 demographi...
Rakib Hasan, Abdullah Al Maimun, Khandaker Fahima Ahmad et al.· 2026 International Conferenc...· 0 citations
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