Search Results - "Khorsavi, Abbas"

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis by Khanam, Sadia, Qazani, Mohammad Reza Chalak, Mondal, Subrota Kumar, Kabir, Hm Dipu, Sabyasachi, Abadhan S., Asadi, Houshyar, Kumar, Keshav, Tabarsinezhad, Farzin, Mohamed, Shady, Khorsavi, Abbas, Nahavandi, Saeid

“…This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a…”
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Patient admission prediction using a pruned fuzzy min–max neural network with rule extraction by Wang, Jin, Lim, Chee Peng, Creighton, Douglas, Khorsavi, Abbas, Nahavandi, Saeid, Ugon, Julien, Vamplew, Peter, Stranieri, Andrew, Martin, Laura, Freischmidt, Anton

“…A useful patient admission prediction model that helps the emergency department of a hospital admit patients efficiently is of great importance. It not only…”
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SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification by Kumar, Keshav, Khanam, Sadia, Bhuiyan, Md Mahbub Islam, Qazani, Mohammad Reza Chalak, Mondal, Subrota Kumar, Asadi, Houshyar, Kabir, H M Dipu, Khorsavi, Abbas, Nahavandi, Saeid

“…Over the past year, COVID-19 has become a global pandemic and people across the globe have suffered a lot from this pandemic. The rate of transmitting the…”
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CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis by Khanam, Sadia, Qazani, Mohammad Reza Chalak, Mondal, Subrota Kumar, Kabir, H M Dipu, Sabyasachi, Abadhan S, Asadi, Houshyar, Kumar, Keshav, Tabarsinezhad, Farzin, Mohamed, Shady, Khorsavi, Abbas, Nahavandi, Saeid

“…This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a…”
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Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid by Kabir, H M Dipu, Khorsavi, Abbas, Rahman, Md Shihanur, Hosen, M Anwar, Nahavandi, Saeid

“…Prediction with uncertainty quantification (UQ) is becoming a vital part of the grid management with the increased uncertainty caused by the recent…”
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