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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Dr. Nazar H.に依頼
Saudi Arabia

Expert Research Writer/Academic Writer | Proofreader

プロフィール概要
専門分野
サービス
Writing Technical Writing, Copywriting
Research Market Research, Scientific and Technical Research
Data & AI Big Data Analytics
職務経験

Research Assistant/Independent Researcher

Hitec University Taxila Pakistan

1月 2021 - 6月 2021

Research Associate

HITEC University

1月 2021 - 6月 2021

学歴

Ph.D. Computer Science (Computer Science)

COMSATS University Islamabad - Wah Campus

1月 2022 - 現在

PhD Computer Science

COMSATS Institute of Information Technology, Wah

9月 2020 - 現在

MS(CS) (Computer Science)

COMSATS University Islamabad - Wah Campus

9月 2018 - 8月 2020

MS Computer Science

COMSATS Institute of Information Technology, Wah

9月 2018 - 8月 2020

認定資格
出版物
JOURNAL ARTICLE
V. Thanikachalam, S. Shanthi, K. Kalirajan, Sayed Abdel-Khalek, Mohamed Omri, Lotfi M. Ladhar(2022). An Integrated Deep Learning Framework for Fruits Diseases Classification . Computers, Materials & Continua. 71. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1387–1402. Computers, Materials and Continua (Tech Science Press)
Nazar Hussain, Muhammad Attique Khan, Usman Tariq, Seifedine Kadry, MuhammadAsfand E. Yar, Almetwally M. Mostafa, Abeer Ali Alnuaim, Shafiq Ahmad(2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection . Computers, Materials & Continua. 70. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 3281–3294. Computers, Materials and Continua (Tech Science Press)
An Integrated Deep Learning Framework for Fruits Diseases Classification @article { author = {V. Thanikachalam and S. Shanthi and K. Kalirajan and Sayed Abdel-Khalek and Mohamed Omri and Lotfi M. Ladhar}, title = {An Integrated Deep Learning Framework for Fruits Diseases Classification}, journal = {Computers, Materials & Continua}, volume = {71}, number = {1}, pages = {1387–1402--1387–1402}, year = {2022}, url = {http://dx.doi.org/10.32604/cmc.2022.017701}, doi = {10.32604/cmc.2022.017701} } . Computers, Materials & Continua.
Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection @article { author = {Nazar Hussain and Muhammad Attique Khan and Usman Tariq and Seifedine Kadry and MuhammadAsfand E. Yar and Almetwally M. Mostafa and Abeer Ali Alnuaim and Shafiq Ahmad}, title = {Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection}, journal = {Computers, Materials & Continua}, volume = {70}, number = {2}, pages = {3281–3294--3281–3294}, year = {2022}, url = {http://dx.doi.org/10.32604/cmc.2022.019036}, doi = {10.32604/cmc.2022.019036} } . Computers, Materials & Continua.
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion @article{Khan_2021, title={COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion}, volume={21}, ISSN={1424-8220}, url={http://dx.doi.org/10.3390/s21217286}, DOI={10.3390/s21217286}, number={21}, journal={Sensors}, publisher={MDPI AG}, author={Khan, Muhammad and Alhaisoni, Majed and Tariq, Usman and Hussain, Nazar and Majid, Abdul and Damaševičius, Robertas and Maskeliūnas, Rytis}, year={2021}, month=nov, pages={7286} } . Sensors.
Khan, Muhammad Attique and Hussain, Nazar and Majid, Abdul and Alhaisoni, Majed and Syed Ahmad Chan, Bukhari and Kadry, Seifedine and Nam, Yunyoung and Yu-Dong, Zhang(2021). Classification of positive COVID-19 CT scans using deep learning. Computers, Materials, & Continua. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2923--2938.
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion @article { author = {Muhammad Attique Khan and Majed Alhaisoni and Usman Tariq and Nazar Hussain and Abdul Majid and Robertas Damaševičius and Rytis Maskeliūnas}, title = {COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion}, year = {2021}, url = {https://doi.org/10.3390/s21217286} } .
Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, Abdul Majid, Robertas Damaševičius, Rytis Maskeliūnas, Nazar Hussain (2021). COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion .
Nazar Hussain, Muhammad Attique Khan, Abdul Majid, Tallha Akram, Yunyoung Nam, Seifedine Kadry, Shui-Hua Wang, Majed Alhaisoni(2021). Classification of COVID-19 CT Scans via Extreme Learning Machine . Computers, Materials & Continua. 68. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1003–1019. Computers, Materials and Continua (Tech Science Press)
Classification of COVID-19 CT Scans via Extreme Learning Machine @article { author = {Muhammad Attique Khan and Abdul Majid and Tallha Akram and Nazar Hussain and Yunyoung Nam and Seifedine Kadry and Shui-Hua Wang and Majed Alhaisoni}, title = {Classification of COVID-19 CT Scans via Extreme Learning Machine}, journal = {Computers, Materials & Continua}, volume = {68}, number = {1}, pages = {1003–1019--1003–1019}, year = {2021}, url = {http://dx.doi.org/10.32604/cmc.2021.015541}, doi = {10.32604/cmc.2021.015541} } . Computers, Materials & Continua.
A deep neural network and classical features based scheme for objects recognition: an application for machine inspection @article{Hussain_2020, title={A deep neural network and classical features based scheme for objects recognition: an application for machine inspection}, volume={83}, ISSN={1573-7721}, url={http://dx.doi.org/10.1007/s11042-020-08852-3}, DOI={10.1007/s11042-020-08852-3}, number={5}, journal={Multimedia Tools and Applications}, publisher={Springer Science and Business Media LLC}, author={Hussain, Nazar and Khan, Muhammad Attique and Sharif, Muhammad and Khan, Sajid Ali and Albesher, Abdulaziz A. and Saba, Tanzila and Armaghan, Ammar}, year={2020}, month=apr, pages={14935–14957} } . Multimedia Tools and Applications.
A deep neural network and classical features based scheme for objects recognition: an application for machine inspection @article { author = {Nazar Hussain and Muhammad Attique Khan and Muhammad Sharif and Sajid Ali Khan and Abdulaziz A. Albesher and Tanzila Saba and Ammar Armaghan}, title = {A deep neural network and classical features based scheme for objects recognition: an application for machine inspection}, journal = {Multimedia Tools and Applications}, volume = {83}, number = {5}, pages = {14935–14957--14935–14957}, year = {2020}, month = {apr}, url = {http://dx.doi.org/10.1007/s11042-020-08852-3}, doi = {10.1007/s11042-020-08852-3} } . Multimedia Tools and Applications.
Hussain, Nazar and Khan, Muhammad Attique and Sharif, Muhammad and Khan, Sajid Ali and Albesher, Abdulaziz A and Saba, Tanzila and Armaghan, Ammar(2020). A deep neural network and classical features based scheme for objects recognition: an application for machine inspection. Multimedia Tools and Applications. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--23. Springer
OTHER
Nazar Hussain, Muhammad Khan, Majed Alhaisoni, Usman Tariq, Abdul Majid, Robertas Damaševičius, Rytis Maskeliūnas (2021). COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion .