Noman Naseer
Orcid: 0000-0002-2680-6403
According to our database1,
Noman Naseer
authored at least 40 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
RoboCA<sup>3</sup>T: A Robot-Inspired Computer-Assisted adaptive autism therapy for improving joint attention and imitation skills through learning and computing innovations.
J. Comput. Assist. Learn., October, 2024
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain-Computer Interface Application.
Sensors, May, 2024
Sensors, February, 2024
IEEE Access, 2024
Mental Fatigue Classification Aided by Machine Learning-Driven Model Under the Influence of Foot and Auditory Binaural Beats Brain Massages via fNIRS.
IEEE Access, 2024
2023
Accuracy Improvement of Non-Intrusive Load Monitoring Using Voting-Based Consensus Clustering.
IEEE Access, 2023
2022
Frontiers Neurorobotics, September, 2022
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks.
Sensors, 2022
Sensors, 2022
Design and Simulation of Lower-Limb Exoskeleton to Assist Paraplegic People in Walking.
Proceedings of the 8th International Conference on Control, 2022
Proceedings of the 8th International Conference on Control, 2022
Proceedings of the 13th Asian Control Conference, 2022
Deep Learning-Based Unmanned Aerial Vehicle Control with Hand Gesture and Computer Vision.
Proceedings of the 13th Asian Control Conference, 2022
Unmanned Aerial Vehicle Control by Eye-Tracking using Computer Vision and Machine Learning.
Proceedings of the 13th Asian Control Conference, 2022
Proceedings of the 13th Asian Control Conference, 2022
EMG Signals Based Gesture Recognition Accuracy Improvement by Machine Learning Classifiers/Algorithms.
Proceedings of the 13th Asian Control Conference, 2022
2021
Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain-Machine Interface (BMI).
Frontiers Neurorobotics, 2021
Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach.
IEEE Access, 2021
IEEE Access, 2021
2020
Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method.
Sensors, 2020
A Novel Roll and Pitch Estimation Approach for a Ground Vehicle Stability Improvement Using a Low Cost IMU.
Sensors, 2020
Forensic speaker recognition: A new method based on extracting accent and language information from short utterances.
Digit. Investig., 2020
Improving classification performance of hybrid EEG-fNIRS BCI system by channel optimization.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020
Enhancing information transfer rate of multi-class BCI system by improving classification accuracies using machine learning methods.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020
Proceedings of the 12th International Conference on Electronics, 2020
2019
Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU-sEMG Interface.
Frontiers Neurorobotics, 2019
Assessment and Classification of Mental Workload in the Prefrontal Cortex (PFC) Using Fixed-Value Modified Beer-Lambert Law.
IEEE Access, 2019
An Adaptive Multi-Robot Therapy for Improving Joint Attention and Imitation of ASD Children.
IEEE Access, 2019
2018
A parametric performance evaluation of SMDBRP and AEDGRP routing protocols in underwater wireless sensor network for data transmission.
Proceedings of the International Conference on Advancements in Computational Sciences, 2018
2017
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model Coefficients.
Frontiers Neurorobotics, 2017
Analyzing Various Functions of Prefrontal Cortex (PFC) in Decision Making via Brain Imaging Techniques.
Proceedings of the Advances in Cross-Cultural Decision Making, 2017
2016
Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis.
Int. J. Neural Syst., 2016
Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface.
Comput. Intell. Neurosci., 2016
2015
Analysis of classification performance of fNIRS signals from prefrontal cortex using various temporal windows.
Proceedings of the 10th Asian Control Conference, 2015
Spontaneous lie detection using functional near-infrared spectroscopy in an interactive game.
Proceedings of the 10th Asian Control Conference, 2015
2013
Determination of temporal window size for classifying the mean value of fNIRS signals from motor imagery.
Proceedings of the IEEE 6th International Conference on Robotics, 2013
Functional near-infrared spectroscopy based discrimination of mental counting and no-control state for development of a brain-computer interface.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013