output
20212023
most citedReal-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm

154 citations

5 papers

cond-mat.mtrl-sci2023★ 7 cited

Optical conductivity enhancement and thermal reduction of BN-codoped MgO nanosheet: Significant effects of B-N atomic interaction

Nzar Rauf Abdullah, Botan Jawdat Abdullah, Yousif Hussein Azeez +2

We investigate the electronic, the thermal, and the optical properties of BN-codoped MgO monolayers taking into account the interaction effects between the B and the N dopant atoms…

cond-mat.mtrl-sci2022★ 21 cited

Role of planar buckling on the electronic, thermal, and optical properties of Germagraphene nanosheets

Nzar Rauf Abdullah, Yousif Hussein Azeez, Botan Jawdat Abdullah +3

We report the electronic, the thermal, and the optical properties of a Germagraphene (GeC) monolayer taking into account buckling effects. The relatively wide direct band gap of a…

cs.CL2022★ 17 cited

Medical Dataset Classification for Kurdish Short Text over Social Media

Ari M. Saeed, Shnya R. Hussein, Chro M. Ali +1

The Facebook application is used as a resource for collecting the comments of this dataset, The dataset consists of 6756 comments to create a Medical Kurdish Dataset (MKD). The sam…

eess.IV2021★ 154 cited

Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm

Hu Tianqing, Mohammad Khishe, Mokhtar Mohammadi +3

Real-time detection of COVID-19 using radiological images has gained priority due to the increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two-p…

eess.IV2021★ 62 cited

Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images

Wu Chao, Mohammad Khishe, Mokhtar Mohammadi +2

The COVID19 pandemic globally and significantly has affected the life and health of many communities. The early detection of infected patients is effective in fighting COVID19. Usi…