Sadia Khanam

Aleatory-aware deep uncertainty quantification for transfer learning.

S. Nahavandi, A. Khosravi, Usha R. Acharya, 2022, Computers in biology and medicine.

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

M. M. Azizan, N. A. Kadri, Seyed Vahid Moravvej, 2022, Contrast media & molecular imaging.

Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Houshyar Asadi, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Uncertainty Aware Neural Network from Similarity and Sensitivity

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, A. Khosravi, 2023, Applied Soft Computing.

Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

Shady M. K. Mohamed, D. Srinivasan, P. Suganthan, 2023, IEEE Systems, Man, and Cybernetics Magazine.

Security Quantification of Container-Technology-Driven E-Government Systems

Sadia Khanam, S. Mondal, K. Kumar, 2023, Electronics.

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, A. Khosravi, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).