154 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Kurdistan HewlerIQ3 papers
- Imam Khomeini Marine Science University2 papers
- Komar University of Science and TechnologyIQ2 papers
- Lebanese French UniversityIQ2 papers
- Salahaddin University-ErbilIQ2 papers
- University of IcelandIS2 papers
- University of SulaimaniIQ2 papers
- Chongqing Medical UniversityCN1 paper
- Henan Polytechnic UniversityCN1 paper
- Imam Khomeini HospitalIR1 paper
- Khorramshahr University of Marine Science and TechnologyIR1 paper
- National United UniversityTW1 paper
5 papers
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…
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…
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…
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…
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…