72 citations · 88 across the 7 of their papers we have counts for
7 papers
Seismic Velocity Inversion from Multi-Source Shot Gathers Using Deep Segmentation Networks: Benchmarking U-Net Variants and SeismoLabV3+
Mahedi Hasan
Seismic velocity inversion is a key task in geophysical exploration, enabling the reconstruction of subsurface structures from seismic wave data. It is critical for high-resolution…
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation
Md Mahedi Hasan, Nasser Nasrabadi
We introduce caption-guided face recognition (CGFR) as a new framework to improve the performance of commercial-off-the-shelf (COTS) face recognition (FR) systems. In contrast to c…
Word level Bangla Sign Language Dataset for Continuous BSL Recognition
Md Shamimul Islam, A. J. M. Akhtarujjaman Joha, Md Nur Hossain +3
An robust sign language recognition system can greatly alleviate communication barriers, particularly for people who struggle with verbal communication. This is crucial for human g…
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network
Sudipto Paul, Md Taimur Ahad, Md. Mahedi Hasan
An expansion of aberrant brain cells is referred to as a brain tumor. The brain's architecture is extremely intricate, with several regions controlling various nervous system proce…
A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia
Al Mohidur Rahman Porag, Md. Mahedi Hasan, Md Taimur Ahad
Pneumonia, a respiratory infection brought on by bacteria or viruses, affects a large number of people, especially in developing and impoverished countries where high levels of pol…
Deep Learning based Early Detection and Grading of Diabetic Retinopathy Using Retinal Fundus Images
Sheikh Muhammad Saiful Islam, Md Mahedi Hasan, Sohaib Abdullah
Diabetic Retinopathy (DR) is a constantly deteriorating disease, being one of the leading causes of vision impairment and blindness. Subtle distinction among different grades and e…
DEEPGONET: Multi-label Prediction of GO Annotation for Protein from Sequence Using Cascaded Convolutional and Recurrent Network
Sheikh Muhammad Saiful Islam, Md Mahedi Hasan
The present gap between the amount of available protein sequence due to the development of next generation sequencing technology (NGS) and slow and expensive experimental extractio…