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Conference

Covid-19 Classification Using Deep Learning in Chest X-Ray Images

  • Source: 2020 Medical Technologies Congress (TIPTEKNO) Medical Technologies Congress (TIPTEKNO), 2020. :1-4 Nov, 2020

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Conference

A study on COVID-19 app’s satisfaction & user attitude in digital combat of coronavirus pandemic

  • Source: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Electronics, Communication and Aerospace Technology (ICECA), 2020 4th International Conference on.

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Conference

Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown

  • Source: 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) CONISOFT Software Engineering Research and Innovation (CONISOFT), 2020 8th International Conference in.

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Conference

H3DNN: 3D Deep Learning Based Detection of COVID-19 Virus using Lungs Computed Tomography

  • Source: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2020 17th

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Conference

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays

  • Source: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on. :1063-1067 Dec, 2020

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Conference

Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

  • Source: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on. :491-494 Dec, 2020

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Conference

A contact-structured SEIR model to assess the impact of lockdown measures on the spread of COVID-19 in Morocco’s population

  • Source: 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) Electronics, Control, Optimization and Computer Science (ICECOCS), 2020 IEEE 2nd

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Conference

A comparative study of different feature extraction techniques for identifying COVID-19 patients using chest X-rays images

  • Source: 2020 International Conference on Decision Aid Sciences and Application (DASA) Decision Aid Sciences and Application (DASA), 2020 International Conference on. :209-213 Nov, 2020

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Conference

Analysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest

  • Source: 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Power, Electronics and Computing (ROPEC), 2020 IEEE International Autumn Meeting on. 4:1-8 Nov, 2020

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Conference

Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19

  • Source: 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) Electronics, Control, Optimization and Computer Science (ICECOCS), 2020 IEEE 2nd

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