| Numerical solutions for distributed-order fractional optimal control problems by using generalized fractional-order Chebyshev wavelets G Ghanbari, M Razzaghi Nonlinear Dynamics 108 (1), 265-277, 2022 | 20 | 2022 |
| Machine learning techniques for determining students' academic performance: A sustainable development case for engineering education S Poudyal, M Nagahi, M Nagahisarchoghaei, G Ghanbari 2020 international conference on decision aid sciences and application (DASA …, 2020 | 19 | 2020 |
| Optimal control of a delayed HIV infection model via Fourier series G Ghanbari, MH Farahi Journal of Nonlinear Dynamics 2014 (1), 945158, 2014 | 13 | 2014 |
| Optimal control strategy for a HIV infection model via Fourier series G Ghanbari, MH Farahi Journal of Applied Mathematics, Statistics and Informatics (JAMSI) 9 (2), 88-94, 2013 | 11 | 2013 |
| Numerical solutions for fractional optimal control problems by using generalised fractional-order Chebyshev wavelets G Ghanbari, M Razzaghi International Journal of Systems Science 53 (4), 778-792, 2022 | 9 | 2022 |
| Fractional‐order Chebyshev wavelet method for variable‐order fractional optimal control problems G Ghanbari, M Razzaghi Mathematical Methods in the Applied Sciences 45 (2), 827-842, 2022 | 9 | 2022 |
| Drwing Figures as a Problem Solving Method G Ghanbari Roshd Mathematics Education Journal 27 (1), 38-41, 2012 | 7 | 2012 |
| Generative Local Interpretable Model-Agnostic Explanations M Nagahisarchoghaei, MM Karimi, S Rahimi, L Cummins, G Ghanbari The International FLAIRS Conference Proceedings 36, 2023 | 6 | 2023 |
| Effect of Individual Differences in Predicting Engineering Students' Performance: A Case of Education for Sustainable Development M Nagahi, R Jaradat, M Nagahisarchoghaei, G Ghanbari, S Poudyal, ... 2020 International Conference on Decision Aid Sciences and Application (DASA), 2020 | 6 | 2020 |
| Analysis of a Warranty-Based Quality Management System in the Construction Industry M Nagahisarchoghaei, J Dodd, M Nagahi, G Ghanbari, S Poudyal 2020 International Conference on Data Analytics for Business and Industry …, 2020 | 5 | 2020 |
| Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients G Ghanbari, JY Lam, SP Shashikumar, L Awdishu, K Singh, A Malhotra, ... JAMIA open 7 (3), ooae097, 2024 | | 2024 |
| A Time-frequency Deep Learning Approach for Classification of Transmembranous Electromyography Probe Recordings in Healthy Volunteers and Patients With Obstructive Sleep Apnea … G Ghanbari, C Studer, S Nemati, A Malhotra, G Sheean C76. SLEEP DISORDERS IN UNCOMMON REALMS, A6488-A6488, 2024 | | 2024 |
| Development of a Machine Learning Model to Predict Serum Creatinine in Critically Ill Adults Z Yousif, G Ghanbari, J Lam, S Shashikumar, A Malhotra, S Nemati C22. ARTIFICIAL INTELLIGENCE IN THE ICU: THE MACHINE WILL SEE YOU NOW, A5069 …, 2024 | | 2024 |
| KEP-1.0: An Automatic Pipeline to Assist a Rapid Learning of COVID-19 Publications J Shi, G Ghanbari, C Xia 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
| A novel Chebyshev wavelet method for solving fractional-order optimal control problems G Ghanbari | | 2022 |
| A novel numerical approach for solving problems in fractional calculus by applying Chebyshev wavelets. G Ghanbari, M Razzaghi 2022 Virtual Joint Mathematics Meetings (JMM 2022), 0 | | |
Mohsen RazzaghiMississippi State University在 math.msstate.edu 的电子邮件经过验证
