Single-trial lie detection using a combined fNIRS-polygraph system MR Bhutta, MJ Hong, YH Kim, KS Hong Frontiers in psychology 6, 709, 2015 | 114 | 2015 |
Note: three wavelengths near-infrared spectroscopy system for compensating the light absorbance by water MR Bhutta, KS Hong, BM Kim, MJ Hong, YH Kim, SH Lee Review of Scientific Instruments 85 (2), 2014 | 79 | 2014 |
Classification of somatosensory cortex activities using fNIRS KS Hong, MR Bhutta, X Liu, YI Shin Behavioural Brain Research 333, 225-234, 2017 | 78 | 2017 |
Adaptive filtering of physiological noises in fNIRS data HD Nguyen, SH Yoo, MR Bhutta, KS Hong Biomedical engineering online 17, 1-23, 2018 | 52 | 2018 |
An optimized framework for energy-resource allocation in a cloud environment based on the whale optimization algorithm S Goyal, S Bhushan, Y Kumar, AHS Rana, MR Bhutta, MF Ijaz, Y Son Sensors 21 (5), 1583, 2021 | 51 | 2021 |
Blockchain technology for secured healthcare data communication among the non-terminal nodes in IoT architecture in 5G network PN Srinivasu, AK Bhoi, SR Nayak, MR Bhutta, M Woźniak Electronics 10 (12), 1437, 2021 | 47 | 2021 |
Hybrid EEG-NIRS based BCI for quadcopter control MJ Khan, KS Hong, N Naseer, MR Bhutta 2015 54th annual conference of the society of instrument and control …, 2015 | 34 | 2015 |
A new deep hybrid boosted and ensemble learning-based brain tumor analysis using MRI MM Zahoor, SA Qureshi, S Bibi, SH Khan, A Khan, U Ghafoor, MR Bhutta Sensors 22 (7), 2726, 2022 | 33 | 2022 |
IoT malware detection architecture using a novel channel boosted and squeezed CNN M Asam, SH Khan, A Akbar, S Bibi, T Jamal, A Khan, U Ghafoor, ... Scientific Reports 12 (1), 15498, 2022 | 32 | 2022 |
Task-specific stimulation duration for fNIRS brain-computer interface MNA Khan, MR Bhutta, KS Hong IEEE Access 8, 89093-89105, 2020 | 29 | 2020 |
Improving classification accuracy of covert yes/no response decoding using support vector machines: an fNIRS study N Naseer, KS Hong, MR Bhutta, MJ Khan 2014 International Conference on Robotics and Emerging Allied Technologies …, 2014 | 26 | 2014 |
A hybrid EEG-fNIRS BCI: motor imagery for EEG and mental arithmetic for fNIRS MJ Khan, KS Hong, N Naseer, MR Bhutta 2014 14th International Conference on Control, Automation and Systems (ICCAS …, 2014 | 23 | 2014 |
fNIRS based dual movement control command generation using prefrontal brain activity MJ Khan, KS Hong, MR Bhutta, N Naseer 2014 International Conference on Robotics and Emerging Allied Technologies …, 2014 | 19 | 2014 |
Drowsiness detection using fNIRS in different time windows for a passive BCI MJ Khan, X Liu, MR Bhutta, KS Hong 2016 6th IEEE International Conference on Biomedical Robotics and …, 2016 | 12 | 2016 |
Water correction algorithm to improve the classification accuracy: A near-infrared spectroscopy study MR Bhutta, KS Hong, N Naseer, MJ Khan 2014 International Conference on Robotics and Emerging Allied Technologies …, 2014 | 11 | 2014 |
Classification of fNIRS signals for deception decoding using LDA and SVM MR Bhutta, KS Hong 2013 13th International Conference on Control, Automation and Systems (ICCAS …, 2013 | 11 | 2013 |
Early Detection of Diabetic Retinopathy Using Machine Intelligence through Deep Transfer and Representational Learning. F Nawaz, M Ramzan, K Mehmood, HU Khan, SH Khan, MR Bhutta Computers, Materials & Continua 66 (3), 2021 | 10 | 2021 |
Effect of anodal tDCS on human prefrontal cortex observed by fNIRS MR Bhutta, SW Woo, MJ Khan, KS Hong 2016 6th IEEE International Conference on Biomedical Robotics and …, 2016 | 10 | 2016 |
Hybrid EEG-NIRS BCI for rehabilitation using different brain signals MJ Khan, KS Hong, N Naseer, MR Bhutta, SH Yoon Proc. of the Annual Conference of the Society of Instrument and Control …, 2014 | 9 | 2014 |
Drowsiness detection in dorsolateral-prefrontal cortex using fNIRS for a passive-BCI MJ Khan, KS Hong, N Naseer, MR Bhutta 2015 15th International Conference on Control, Automation and Systems (ICCAS …, 2015 | 8 | 2015 |