551 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Swakkhar Shatabda2 profiles20 · h 31
- Sami Azam2 profiles8 · h 14
- C. R. Rahman7 · h 6
- Mohaimenul Azam Khan Raiaan2 profiles7 · h 13
- Md. Rafiqul Islam6 · h 1
- Chowdhury Mofizur Rahman3 profiles4 · h 17
- Sajid Ahmed4 · h 13
- S. Islam4 · h 17
- A. Khandoker3 · h 38
- Arefin Ittesafun Abian3 · h 3
- D. Farid3 · h 25
- Fahim Hafiz3 · h 3
- BRAC UniversityBD9 papers
- Bangladesh University of Engineering and TechnologyBD8 papers
- Charles Darwin UniversityAU8 papers
- Pennsylvania State UniversityUS6 papers
- Artificial Intelligence in Medicine (Canada)CA5 papers
- Monash UniversityAU5 papers
- North South UniversityBD4 papers
- University of DhakaBD4 papers
- Khalifa University of Science and TechnologyAE3 papers
- Lappeenranta-Lahti University of TechnologyFI3 papers
- Stamford University BangladeshBD3 papers
- University of Asia PacificBD3 papers
4 papers · 1 filter
TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding
Mahbub E Sobhani, Anika Tasnim Rodela, Chowdhury Mofizur Rahman +2
Lossy text compression reduces data size while preserving core meaning, making it well-suited for summarization, automated analysis, and digital archives. Despite the dominance of…
Automated detection of pediatric congenital heart disease from phonocardiograms using deep and handcrafted feature fusion
Abdul Jabbar, Ethan Grooby, Yang Yi Poh +5
Congenital heart disease (CHD) is the most common type of birth defect, impacting about 1% of live births worldwide. Echocardiography, the gold-standard diagnostic method, is costl…
Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
Md Muntasir Jahid Ayan, Md. Shahriar Rashid, Tazzina Afroze Hassan +6
The increasing complexity and frequency of cyber-threats demand intrusion detection systems (IDS) that are not only accurate but also interpretable. This paper presented a novel ID…
Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans
Md Mahmudul Hoque, Md Mehedi Hassain, Muntakimur Rahaman +3
Polycystic Ovary Syndrome (PCOS) is the most familiar endocrine illness in women of reproductive age. Many Bangladeshi women suffer from PCOS disease in their older age. The aim of…