| Gastrointestinal diseases segmentation and classification based on duo-deep architectures MA Khan, MA Khan, F Ahmed, M Mittal, LM Goyal, DJ Hemanth, ... Pattern Recognition Letters 131, 193-204, 2020 | 172 | 2020 |
| A novel CNN-LSTM-based approach to predict urban expansion W Boulila, H Ghandorh, MA Khan, F Ahmed, J Ahmad Ecological Informatics 64, 101325, 2021 | 140 | 2021 |
| Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels MA Khan, H Asadi, T Hoang, CP Lim, S Nahavandi International Conference on Neural Information Processing, 313-325, 2023 | 12 | 2023 |
| Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review MA Khan, H Asadi, L Zhang, MRC Qazani, S Oladazimi, LC Kiong, ... Expert Systems with Applications, 123717, 2024 | 9 | 2024 |
| An ICU Admission Predictive Model for COVID-19 Patients in Saudi Arabia H Ghandorh, MZ Khan, R Alsufyani, M Khan, YM Alsofayan, AA Khan, ... International Journal of Advanced Computer Science and Applications 12 (7), 2021 | 7 | 2021 |
| A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique MA Khan, F Ahmed, MD Khan, J Ahmad, H Kumar, N Pitropakis Electronics 11 (6), 955, 2022 | 4 | 2022 |
| Predicting ICU Admission for COVID-19 Patients in Saudi Arabia: A Comparative Study of AdaBoost and Bagging Methods. H Ghandorh, MZ Khan, MA Khan, YM Alsofayan, AA Alahmari, AA Khan International Journal of Advanced Computer Science & Applications 15 (3), 2024 | 2 | 2024 |
| Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning MA Khan, H Asadi, MRC Qazani, CP Lim, S Nahavandi arXiv preprint arXiv:2408.06349, 2024 | 1 | 2024 |
| Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model MA Khan, H Asadi, MRC Qazani, A Arogbonlo, S Nahavandi, CP Lim arXiv preprint arXiv:2408.06350, 2024 | | 2024 |
| Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis MA Khan, H Asadi, MRC Qazani, A Arogbonlo, S Pedrammehr, A Anwar, ... arXiv preprint arXiv:2407.15901, 2024 | | 2024 |
Fawad AhmedDepartment of Cyber Security, PNEC, NUSTE-mail megerősítve itt: pnec.nust.edu.pk