Browsing by Author "Qiblawey Y."
Now showing items 1-6 of 6
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A customized PV performance monitoring system in Qatar's harsh environment
Touati F.; Gonzales A.S.P.; Jr.; Qiblawey Y.; Benhmed K. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)A customized PV panel monitoring system is proposed. It is based on available hardware, as well as easily configurable Arduino?? software which does not require high specific programming skills. The configuration of hardware ... -
COVID-19 infection localization and severity grading from chest X-ray images
Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; Khurshid U.; Kiranyaz, Mustafa Serkan; Ibtehaz N.; Rahman M.S.; Al-Maadeed S.; Mahmud S.; Ezeddin M.; Hameed K.; Hamid T.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
Tahir A.M.; Qiblawey Y.; Khandakar A.; Rahman T.; Khurshid U.; Musharavati F.; Islam M.T.; Kiranyaz, Mustafa Serkan; Al-Maadeed S.; Chowdhury M.E.H.... more authors ... less authors ( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
Detection and severity classification of COVID-19 in CT images using deep learning
Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman T.; Ibtehaz N.; Mahmud S.; Al Maadeed S.; Musharavati F.; Ayari M.A.... more authors ... less authors ( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; Tahir A.; Qiblawey Y.; Rahman T.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ... -
PV power prediction in Qatar based on machine learning approach
Benhmed K.; Touati F.; Al-Hitmi M.; Chowdhury N.A.; Gonzales A.S.P.; Jr.; Qiblawey Y.; Benammar M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)PV output power is highly sensitive to many environmental parameters, hence, power available from plants based on this technology will be affected, especially in harsh environments such that of Gulf countries. In order to ...