no code implementations • 15 Feb 2024 • Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, Sheikh Mohammad Shariful Islam, U. Rajendra Acharya
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness.
no code implementations • 11 Nov 2023 • Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, U. Rajendra Acharya
This paper provides an overview of the recent developments and difficulties in using artificial intelligence and retinal imaging to diagnose cardiovascular diseases.
no code implementations • 6 Sep 2023 • Camilo Gonzalez, Houshyar Asadi, Lars Kooijman, Chee Peng Lim
Model Predictive Control (MPC) is an optimal control algorithm with strong stability and robustness guarantees.
1 code implementation • 27 Apr 2023 • H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady Mohamed, Saeid Nahavandi, U Rajendra Acharya
In the proposed NN training method for UQ, first, we train a shallow NN for the point prediction.
1 code implementation • 20 Sep 2022 • Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, H M Dipu Kabir, Abadhan S. Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady Mohamed, Abbas Khorsavi, Saeid Nahavandi
In this research, the PyTorch pre-trained models (VGG19\_bn and WideResNet -101) are applied in the MNIST dataset for the first time as initialization and with modified fully connected layers.