653 citations · 760 across the 5 of their papers we have counts for
6 papers
Can the Quantum Fisher Effective Dimension Judge a Hybrid Quantum Neural Network?
Md Masum Mia, Amith Khandakar, Mohamed Arselene Ayari
Hybrid quantum neural networks (QNNs) pair a classical feature extractor with a variational quantum circuit, and the effective dimension of the circuit's quantum Fisher information…
YTClickbait21K: Human-Annotated Multimodal Dataset for YouTube Clickbait Detection Across Diverse Channels and Content Categories
Md. Minhazul Islam, Md. Tanbeer Jubaer, Amith Khandakar +5
Clickbait content on video-sharing platforms poses a significant challenge to information reliability, yet progress in automated detection has been constrained by the lack of large…
RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis
Amith Khandakar, David Michelson, Shaikh Golam Rabbani +8
It's important to monitor road issues such as bumps and potholes to enhance safety and improve road conditions. Smartphones are equipped with various built-in sensors that offer a…
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar +7
Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many…
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very impo…
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks
Nabil Ibtehaz, Sakib Mahmud, Muhammad E. H. Chowdhury +4
Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll of lives annually throughout the world. The continuous monitoring of blood pressure seem…