69 citations · 148 across the 6 of their papers we have counts for
6 papers
Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation
Rofiqul Islam, Nihad Karim Chowdhury, Muhammad Ashad Kabir
This research presents a robust approach to classifying COVID-19 cough sounds using cutting-edge machine-learning techniques. Leveraging deep neural decision trees and deep neural…
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data
Abdul Aziz, Nihad Karim Chowdhury, Muhammad Ashad Kabir +2
Desire is a set of human aspirations and wishes that comprise verbal and cognitive aspects that drive human feelings and behaviors, distinguishing humans from other animals. Unders…
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman
The objectives of this research are analysing the performance of the state-of-the-art machine learning techniques for classifying COVID-19 from cough sound and identifying the mode…
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury
Due to the limited availability and high cost of the reverse transcription-polymerase chain reaction (RT-PCR) test, many studies have proposed machine learning techniques for detec…
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman +1
This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set. At first, t…
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir
The COVID-19 pandemic continues to severely undermine the prosperity of the global health system. To combat this pandemic, effective screening techniques for infected patients are…