| Optimal feature selection and deep learning ensembles method for emotion recognition from human brain EEG sensors RM Mehmood, R Du, HJ Lee Ieee Access 5, 14797-14806, 2017 | 213 | 2017 |
| Classification of arrhythmia by using deep learning with 2-D ECG spectral image representation A Ullah, SM Anwar, M Bilal, RM Mehmood Remote Sensing 12 (10), 1685, 2020 | 188 | 2020 |
| Emotion classification of EEG brain signal using SVM and KNN RM Mehmood, HJ Lee 2015 IEEE international conference on multimedia & expo workshops (ICMEW), 1-5, 2015 | 118 | 2015 |
| Deep learninig of EEG signals for emotion recognition Y Gao, HJ Lee, RM Mehmood 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-5, 2015 | 114 | 2015 |
| A novel feature extraction method based on late positive potential for emotion recognition in human brain signal patterns RM Mehmood, HJ Lee Computers & Electrical Engineering 53, 444-457, 2016 | 108 | 2016 |
| A hybrid deep CNN model for abnormal arrhythmia detection based on cardiac ECG signal A Ullah, S Rehman, S Tu, RM Mehmood, Fawad, M Ehatisham-ul-Haq Sensors 21 (3), 951, 2021 | 100 | 2021 |
| Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing A Lakhan, M Ahmad, M Bilal, A Jolfaei, RM Mehmood IEEE Transactions on Intelligent Transportation Systems 22 (7), 4212-4223, 2021 | 93 | 2021 |
| EEG based emotion recognition from human brain using Hjorth parameters and SVM RM Mehmood, HJ Lee International Journal of Bio-Science and Bio-Technology 7 (3), 23-32, 2015 | 66 | 2015 |
| Low Area PRESENT Cryptography in FPGA Using TRNGPRNG Key Generation T Kowsalya, RG Babu, BD Parameshachari, A Nayyar, RM Mehmood CMC-Computers Materials & Continua 68 (2), 1447-65, 2021 | 53 | 2021 |
| A low-cost information monitoring system for smart farming applications M Saqib, TA Almohamad, RM Mehmood Sensors 20 (8), 2367, 2020 | 50 | 2020 |
| Towards building a computer aided education system for special students using wearable sensor technologies RM Mehmood, HJ Lee Sensors 17 (2), 317, 2017 | 48 | 2017 |
| An innovative multi-model neural network approach for feature selection in emotion recognition using deep feature clustering MA Asghar, MJ Khan, M Rizwan, RM Mehmood, SH Kim Sensors 20 (13), 3765, 2020 | 36 | 2020 |
| AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification MA Asghar, MJ Khan, M Rizwan, M Shorfuzzaman, RM Mehmood Multimedia Systems 28 (4), 1275-1288, 2022 | 31 | 2022 |
| Alpha activity during emotional experience revealed by ERSP R Du, RM Mehmood, HJ Lee 網際網路技術學刊 15 (5), 775-782, 2014 | 25 | 2014 |
| Wavelet ELM-AE based data augmentation and deep learning for efficient emotion recognition using EEG recordings B Ari, K Siddique, ÖF Alçin, M Aslan, A Şengür, RM Mehmood IEEE Access 10, 72171-72181, 2022 | 24 | 2022 |
| Children emotion regulation: Development of neural marker by investigating human brain signals RM Mehmood, HJ Yang, SH Kim IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 23 | 2020 |
| Exploration of prominent frequency wave in EEG signals from brain sensors network RM Mehmood, HJ Lee International Journal of Distributed Sensor Networks 11 (11), 386057, 2015 | 22 | 2015 |
| EEG-based affective state recognition from human brain signals by using Hjorth-activity RM Mehmood, M Bilal, S Vimal, SW Lee Measurement 202, 111738, 2022 | 20 | 2022 |
| Cost-based energy efficient scheduling technique for dynamic voltage and frequency scaling system in cloud computing MS Ajmal, Z Iqbal, FZ Khan, M Bilal, RM Mehmood Sustainable Energy Technologies and Assessments 45, 101210, 2021 | 18 | 2021 |
| Towards emotion recognition of EEG brain signals using Hjorth parameters and SVM RM Mehmood, HJ Lee Bioscience and Medical Research 2015 91, pp.24-27, 2015 | 17 | 2015 |
Hyo Jong LeeChonbuk National University, Computer ScienceZweryfikowany adres z chonbuk.ac.kr
