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Mohammad Peivandi

Showing results (1-10 of 3) with videos related to

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Sensors (Basel, Switzerland)|October 14, 2023
Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive ApproachMohammad Peivandi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, et al.
Computational Intelligence and Neuroscience|May 16, 2022
FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of TumorsSepideh Molaei, Niloofar Ghorbani, Fatemeh Dashtiahangar, et al.
Computational Intelligence and Neuroscience|June 3, 2022
CT-ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time-Dependent Feature Extraction Methods Using Contourlet Transformation and Machine LearningBehnam Hajipour Khire Masjidi, Soufia Bahmani, Fatemeh Sharifi, et al.
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Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|October 14, 2023
Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive ApproachMohammad Peivandi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, et al.
Computational Intelligence and Neuroscience|May 16, 2022
FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of TumorsSepideh Molaei, Niloofar Ghorbani, Fatemeh Dashtiahangar, et al.
Computational Intelligence and Neuroscience|June 3, 2022
CT-ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time-Dependent Feature Extraction Methods Using Contourlet Transformation and Machine LearningBehnam Hajipour Khire Masjidi, Soufia Bahmani, Fatemeh Sharifi, et al.
Pageof 1