output
20192025
most citedPDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images

69 citations

9 papers

quant-ph2025

Secure and Efficient n-Qubit Entangled State Teleportation Using Partially Entangled GHZ Channels and Optimal POVM

Animesh Banik, Md. Shihab Khan, Rafid Masrur Khan +2

We introduce an efficient and versatile quantum teleportation protocol for specific types of n-qubit entangled states. By employing a partially entangled Greenberger-Horne-Zeilinge…

cs.SD20252 cited

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…

cond-mat.mtrl-sci20255 cited

Investigation of magnetic ordering with spin reorientation transition and optical properties in DyCoCrO nanomaterials

M. M. Islam, M. A. Islam, Rana Hossain +2

This study reports the synthesis and physical properties of polycrystalline DyCoCrO (DCCO) nanoparticles. Analysis of the powder X-ray diffraction (XRD) pattern using Rietv…

cs.CR20242 cited

A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors

Fatama Tuz Johora, Md Shahedul Islam Khan, Esrath Kanon +3

Cyber risk refers to the risk of defacing reputation, monetary losses, or disruption of an organization or individuals, and this situation usually occurs by the unconscious use of…

cs.CY20248 cited

Bangladesh Agricultural Knowledge Graph: Enabling Semantic Integration and Data-driven Analysis--Full Version

Rudra Pratap Deb Nath, Tithi Rani Das, Tonmoy Chandro Das +1

In Bangladesh, agriculture is a crucial driver for addressing Sustainable Development Goal 1 (No Poverty) and 2 (Zero Hunger), playing a fundamental role in the economy and people'…

cs.LG20217 cited

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…