405 citations
- Shanghai Jiao Tong UniversityCN11 papers
- American International University-BangladeshBD4 papers
- Universiti Sains MalaysiaMY4 papers
- Adobe Systems (United States)US3 papers
- Chulalongkorn UniversityTH3 papers
- Feng Chia UniversityTW2 papers
- Kaduna State UniversityNG2 papers
- Lyon 1 UniversitéFR2 papers
- Monash University MalaysiaMY2 papers
- Peking UniversityCN2 papers
- Shanghai UniversityCN2 papers
- Télécom ParisFR2 papers
90 papers
A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification
Muhammad Ali Shah, Muhammad Mansoor Alam, Saddam Hussain Khan
This study proposes an efficient Densely Swin Hybrid (EDSH) framework for brain tumor MRI analysis, designed to jointly capture fine grained texture patterns and long range context…
Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4
Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…
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…
Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression Filtering Method for SEM Images
D. Chee Yong Ong, I. Bukhori, K. S. Sim +1
Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approa…
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Anqi Xiao, Weichen Yu, Hongyuan Yu
Automatic data augmentation (AutoDA) plays an important role in enhancing the generalization of neural networks. However, mainstream AutoDA methods often encounter two challenges:…
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
Md Abrar Jahin, Taufikur Rahman Fuad, M. F. Mridha +2
Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preservation, and communication efficiency, especially in non-IID decentralized environmen…