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Noman Naseer

Showing results (21-30 of 39) with videos related to

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Neuroscience Letters|March 25, 2017
Optimal feature selection from fNIRS signals using genetic algorithms for BCIFarzan Majeed Noori, Noman Naseer, Nauman Khalid Qureshi, et al.
Journal of Bodywork and Movement Therapies|June 9, 2026
Investigating cognitive fatigue recovery through mechanical massage and binaural beats: An AI-driven fNIRS studyNazo Haroon, Hamid Jabbar, Taikyeong Ted Jeong, et al.
Frontiers in Human Neuroscience|May 17, 2021
Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain-Computer InterfaceSaad Arif, Muhammad Jawad Khan, Noman Naseer, et al.
Frontiers in Human Neuroscience|February 11, 2021
Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A ReviewHaroon Khan, Noman Naseer, Anis Yazidi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
fNIRS Based Comparative Study of Classifiers and Feature Selection Techniques for Finger TappingUrooj Abid, Osama Zulfiqar, Hammad Nazeer, et al.
Frontiers in Neurorobotics|August 4, 2017
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model CoefficientsNauman Khalid Qureshi, Noman Naseer, Farzan Majeed Noori, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural NetworksHuma Hamid, Noman Naseer, Hammad Nazeer, et al.
Sensors (Basel, Switzerland)|April 12, 2022
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCIAsma Gulraiz, Noman Naseer, Hammad Nazeer, et al.
Plos One|April 17, 2025
Improved performance of fNIRS-BCI by stacking of deep learning-derived frequency domain featuresJamila Akhter, Hammad Nazeer, Noman Naseer, et al.
Journal of Neuroengineering and Rehabilitation|February 7, 2018
fNIRS-based Neurorobotic Interface for gait rehabilitationRayyan Azam Khan, Noman Naseer, Nauman Khalid Qureshi, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
Neuroscience Letters|March 25, 2017
Optimal feature selection from fNIRS signals using genetic algorithms for BCIFarzan Majeed Noori, Noman Naseer, Nauman Khalid Qureshi, et al.
Journal of Bodywork and Movement Therapies|June 9, 2026
Investigating cognitive fatigue recovery through mechanical massage and binaural beats: An AI-driven fNIRS studyNazo Haroon, Hamid Jabbar, Taikyeong Ted Jeong, et al.
Frontiers in Human Neuroscience|May 17, 2021
Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain-Computer InterfaceSaad Arif, Muhammad Jawad Khan, Noman Naseer, et al.
Frontiers in Human Neuroscience|February 11, 2021
Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A ReviewHaroon Khan, Noman Naseer, Anis Yazidi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
fNIRS Based Comparative Study of Classifiers and Feature Selection Techniques for Finger TappingUrooj Abid, Osama Zulfiqar, Hammad Nazeer, et al.
Frontiers in Neurorobotics|August 4, 2017
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model CoefficientsNauman Khalid Qureshi, Noman Naseer, Farzan Majeed Noori, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural NetworksHuma Hamid, Noman Naseer, Hammad Nazeer, et al.
Sensors (Basel, Switzerland)|April 12, 2022
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCIAsma Gulraiz, Noman Naseer, Hammad Nazeer, et al.
Plos One|April 17, 2025
Improved performance of fNIRS-BCI by stacking of deep learning-derived frequency domain featuresJamila Akhter, Hammad Nazeer, Noman Naseer, et al.
Journal of Neuroengineering and Rehabilitation|February 7, 2018
fNIRS-based Neurorobotic Interface for gait rehabilitationRayyan Azam Khan, Noman Naseer, Nauman Khalid Qureshi, et al.
Pageof 4