collaborators

9 papers

cs.CV2026

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…

cs.CL2026

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…

cs.SD2026

Bangla-WhisperDiar: Fine-Tuning Whisper and PyAnnote for Bangla Long-Form Speech Recognition and Speaker Diarization

Mohammed Aman Bhuiyan, Md Sazzad Hossain Adib, Samiul Basir Bhuiyan +4

Automatic Speech Recognition (ASR) and speaker diarization in Bangla remain challenging due to long form recordings, diverse acoustic conditions, and significant speaker variabilit…

cs.RO2026

STM32-Based Smart Waste Bin for Hygienic Disposal Using Embedded Sensing and Automated Control

Mohammed Aman Bhuiyan, Aritra Islam Saswato, Md. Misbah Khan +3

The increasing demand for hygienic and contactless solutions in public and private environments has encouraged the development of automated systems for everyday applications. This…

eess.IV2026

Fine-tuned Transformer Models for Breast Cancer Detection and Classification

Showkat Osman, Md. Tajwar Munim Turzo, Maher Ali Rusho +6

Breast cancer is still the second top cause of cancer deaths worldwide and this emphasizes the importance of necessary steps for early detection. Traditional diagnostic methods, su…

cs.CV2025

Intelligent Systems in Neuroimaging: Pioneering AI Techniques for Brain Tumor Detection

Md. Mohaiminul Islam, Md. Mofazzal Hossen, Maher Ali Rusho +6

This study deliberates on the application of advanced AI techniques for brain tumor classification through MRI, wherein the training includes the present best deep learning models…