34 citations · 73 across the 5 of their papers we have counts for
5 papers
Remote Sensing Image Classification Using Deep Ensemble Learning
Niful Islam, Md. Rayhan Ahmed, Nur Mohammad Fahad +4
Remote sensing imagery plays a crucial role in many applications and requires accurate computerized classification techniques. Reliable classification is essential for transforming…
Polyp segmentation in colonoscopy images using DeepLabV3++
Al Mohimanul Islam, Sadia Shakiba Bhuiyan, Mysun Mashira +3
Segmenting polyps in colonoscopy images is essential for the early identification and diagnosis of colorectal cancer, a significant cause of worldwide cancer deaths. Prior deep lea…
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +3
Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still…
Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms
Md. Enamul Haque, Md. Rayhan Ahmed, Razia Sultana Nila +1
As the world is still trying to rebuild from the destruction caused by the widespread reach of the COVID-19 virus, and the recent alarming surge of human monkeypox disease outbreak…
An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition
Md. Rayhan Ahmed, Salekul Islam, Ph. D +2
In this paper, we propose an ensemble of deep neural networks along with data augmentation (DA) learned using effective speech-based features to recognize emotions from speech. Our…