1 citations · 1 across the 8 of their papers we have counts for
8 papers
GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets
Saif Ahmed, Asadullah Hil Galib, S. M. Riaz Rahman Antu +5
Generative adversarial networks (GANs) can provide efficient image generation, while diffusion models offer high-quality image restoration but require iterative sampling. This pape…
An Improved Generative Adversarial Network for Micro-Resistivity Imaging Logging Restoration
Ahmed Faizul Haque, S. M. Riaz Rahman Antu, Saif Ahmed +5
An improved GAN-based imaging logging image restoration method is presented in this paper for solving the problem of partially missing micro-resistivity imaging logging images. The…
Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization
Ahmed Faizul Haque Dhrubo, Souvik Pramanik, Most. Aysha Siddika Sumona +4
This study introduces a novel architecture of KAN-based BiGRU model for the task of classification and summarization of legal documents in a low-resource multilingual setup. In ord…
Balancing Accuracy and Efficiency: CNN Fusion Models for Diabetic Retinopathy Screening
Md Rafid Islam, Rafsan Jany, Akib Ahmed +1
Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet large-scale screening is constrained by limited specialist availability and variable image quality a…
Video-Based MPAA Rating Prediction: An Attention-Driven Hybrid Architecture Using Contrastive Learning
Dipta Neogi, Nourash Azmine Chowdhury, Muhammad Rafsan Kabir +1
The rapid growth of visual content consumption across platforms necessitates automated video classification for age-suitability standards like the MPAA rating system (G, PG, PG-13,…
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
Muhammad Rafsan Kabir, Md. Mohibur Rahman Nabil, Mohammad Ashrafuzzaman Khan
Sentence-level embedding is essential for various tasks that require understanding natural language. Many studies have explored such embeddings for high-resource languages like Eng…
Automatic Differential Diagnosis using Transformer-Based Multi-Label Sequence Classification
Abu Adnan Sadi, Mohammad Ashrafuzzaman Khan, Lubaba Binte Saber
As the field of artificial intelligence progresses, assistive technologies are becoming more widely used across all industries. The healthcare industry is no different, with numero…
On Preserving the Knowledge of Long Clinical Texts
Mohammad Junayed Hasan, Suhra Noor, Mohammad Ashrafuzzaman Khan
Clinical texts, such as admission notes, discharge summaries, and progress notes, contain rich and valuable information that can be used for clinical decision making. However, a se…