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S Abdel‐Khalek

Biographic Data

ID10241426
NAMES Abdel‐Khalek
GIVEN NAMESS
FAMILY NAMEAbdel‐Khalek
SIGNATUREKHALEK S A
AFFILIATIONSTaif University
ORCID0000-0003-1822-2456
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Covid-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images

    Open Access•Mahmoud Ragab, Samah Alshehri et al.•ARTICLE•Frontiers in Public Health•2022

    Diagnosis is a crucial precautionary step in research studies of the coronavirus disease, which shows indications similar to those of various pneumonia types. The COVID-19 pandemic has caused a significant outbreak in more than 150 nations and has significantly affected the wellness and lives of many individuals globally. Particularly, discovering the patients infected with COVID-19 early and providing them with treatment is an important way of f…

  • An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach

    Open Access•Sivashankari R, R Sivashankari et al.•ARTICLE•Frontiers in Public Health•2022

    Today, disease detection automation is widespread in healthcare systems. The diabetic disease is a significant problem that has spread widely all over the world. It is a genetic disease that causes trouble for human life throughout the lifespan. Every year the number of people with diabetes rises by millions, and this affects children too. The disease identification involves manual checking so far, and automation is a current trend in the medical…

  • A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application

    Open Access•Anup M Upadhyaya, Mohammad Kamrul Hasan et al.•ARTICLE•Frontiers in Public Health•2021

    This study presented an overview of current developments in optical micro-electromechanical systems in biomedical applications. Optical micro-electromechanical system (MEMS) is a particular class of MEMS technology. It combines micro-optics, mechanical elements, and electronics, called the micro-opto electromechanical system (MOEMS). Optical MEMS comprises sensing and influencing optical signals on micron-level by incorporating mechanical, electr…

No prominent works on this page.

  • A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application

    Open Access•Anup M Upadhyaya, Mohammad Kamrul Hasan et al.•ARTICLE•Frontiers in Public Health•2021

    This study presented an overview of current developments in optical micro-electromechanical systems in biomedical applications. Optical micro-electromechanical system (MEMS) is a particular class of MEMS technology. It combines micro-optics, mechanical elements, and electronics, called the micro-opto electromechanical system (MOEMS). Optical MEMS comprises sensing and influencing optical signals on micron-level by incorporating mechanical, electr…

  • Covid-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images

    Open Access•Mahmoud Ragab, Samah Alshehri et al.•ARTICLE•Frontiers in Public Health•2022

    Diagnosis is a crucial precautionary step in research studies of the coronavirus disease, which shows indications similar to those of various pneumonia types. The COVID-19 pandemic has caused a significant outbreak in more than 150 nations and has significantly affected the wellness and lives of many individuals globally. Particularly, discovering the patients infected with COVID-19 early and providing them with treatment is an important way of f…

  • An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach

    Open Access•Sivashankari R, R Sivashankari et al.•ARTICLE•Frontiers in Public Health•2022

    Today, disease detection automation is widespread in healthcare systems. The diabetic disease is a significant problem that has spread widely all over the world. It is a genetic disease that causes trouble for human life throughout the lifespan. Every year the number of people with diabetes rises by millions, and this affects children too. The disease identification involves manual checking so far, and automation is a current trend in the medical…

Computer Science (3 works) · Artificial Intelligence (2 works) · COVID-19 diagnosis using AI (2 works) · Engineering (2 works) · Machine learning (2 works) · Advanced Chemical Sensor Technologies (1 work) · Advanced Fiber Optic Sensors (1 work) · Aerospace Engineering (1 work) · AI in cancer detection (1 work) · Artificial Intelligence in Healthcare (1 work)

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