Browsing COVID-19 Research by Subject "Deep Learning"

Now showing items 1-7 of 7

    • ANFIS-Net for automatic detection of COVID-19 

      Al-ali A.; Elharrouss O.; Qidwai U.; Al-Maadeed, Somaya ( Nature Research , 2021 , Article)
      Among the most leading causes of mortality across the globe are infectious diseases which have cost tremendous lives with the latest being coronavirus (COVID-19) that has become the most recent challenging issue. The extreme ...

    • BEMD-3DCNN-based method for COVID-19 detection 

      Riahi, A.; Elharrouss, O.; Al-Maadeed, Somaya ( Elsevier Ltd , 2022 , Article)
      The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...

    • Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images 

      Yamac M.; Ahishali M.; Degerli A.; Kiranyaz, Mustafa Serkan; Chowdhury M.E.H.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ...

    • Intelligent monitoring system for crowd monitoring and social distancing with mask control 

      Al Madeed, Somaya; elharrouss, Omar; Ottakath, Najmath ( Qatar University Press , 2020 , Poster)
      Due to the current COVID situation , there's a huge need for crowd control as well as efficient social distancing. Security cameras everywhere but personnel to monitor it, a few. In this project we use crowd counting and ...

    • OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES 

      Degerli, Aysen; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef ( IEEE , 2022 , Conference Paper)
      Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...

    • Secure eHealth: A Secure eHealth System to Detect COVID Using Image Steganography 

      Subramanian, Nandhini; Elharrouss, Omar; Al-Maadeed, Somaya ( Qatar University Press , 2020 , Poster)
      COVID is a pandemic which has spread to all parts of the world. Detection of COVID infection is crucial to prevent the spread further. Contactless health care systems are essential which can be implemented with Cloud ...

    • Smart System to Monitor Social-Distancing During the Covid-19 Pandemic 

      Elharrouss, Omar; Al-Maadeed, Noor; Abualsaud, Khalid; Mahmoud, Amr; Khattab, Tamer; ... more authors ( Qatar University Press , 2020 , Poster)
      We introduce a smart system to track and maintain real-time physical distance between people and to warn people to any deviation from the prescribed distances. Social-distancing is an effective way of slowing infectious ...