| Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach M Peivandi, SZ Ardabili, S Sheykhivand, S Danishvar Sensors 23 (19), 8171, 2023 | 7 | 2023 |
| A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks SZ Ardabili, S Bahmani, LZ Lahijan, N Khaleghi, S Sheykhivand, ... Sensors 24 (2), 364, 2024 | 3 | 2024 |
| Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network N Khaleghi, S Hashemi, SZ Ardabili, S Sheykhivand, S Danishvar Sensors 23 (23), 9351, 2023 | 3 | 2023 |
| EEG-based functional connectivity analysis of brain abnormalities: A systematic review study N Khaleghi, S Hashemi, M Peivandi, S Zafarmandi Ardabili, M Behjati, ... Elsevier, 2024 | | 2024 |
| A New Method to Improve Noise Cancellation in Medical Images Using Filtration and Artificial Neural Networks سوداظفرمندی اردبیلی، رامین سلیمانی، سبلان دانشور Fifth International Conference on Technology Development in Iranian …, 2021 | | 2021 |
| Fusion medical images using feature extraction based on wavelet transform سوداظفرمندی اردبیلی، سبلان دانشور 14th International Conference on Information technology, computer and …, 2020 | | 2020 |
Sebelan DanishvarSenior researcher, Brunel UniversityVerified email at brunel.ac.uk
