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Khairul Anam
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2020 – today
- 2020
- [j3]Mohammad Abu Jami'in
, Khairul Anam
Hierarchical linear and nonlinear adaptive learning model for system identification and prediction. Appl. Intell. 50(6): 1699-1710 (2020) - [c15]Khairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama
Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition. EMBC 2020: 447-450
2010 – 2019
- 2018
- [j2]Pornchai Phukpattaranont
Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal. Medical Biol. Eng. Comput. 56(12): 2259-2271 (2018) - 2017
- [j1]Khairul Anam
Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees. Neural Networks 85: 51-68 (2017) - [c14]Khairul Anam
Evaluation of Randomized Variable Translation Wavelet Neural Networks. SCDS 2017: 3-12 - 2016
- [b1]Khairul Anam:
Bio-driven control system for the rehabilitation hand device : a new approach. University of Technology Sydney, Australia, 2016 - [c13]Tanvir Anwar, Khairul Anam
Estimation of torque for knee joint using frequency domain features for rehabilitation robot biomechanics. BioRob 2016: 1006 - [c12]Khairul Anam
Adaptive myoelectric pattern recognition for arm movement in different positions using advanced online sequential extreme learning machine. EMBC 2016: 900-903 - 2015
- [c11]Khairul Anam
A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification. EMBC 2015: 7266-7269 - [c10]Tanvir Anwar, Khairul Anam
EMG Signal Based Knee Joint Angle Estimation of Flexion and Extension with Extreme Learning Machine (ELM) for Enhancement of Patient-Robotic Exoskeleton Interaction. ICONIP (1) 2015: 583-590 - [c9]Yee Mon Aung, Khairul Anam
Continuous prediction of shoulder joint angle in real-time. NER 2015: 755-758 - [c8]Khairul Anam
A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMG. NER 2015: 824-827 - [c7]Ammara Masood, Adel Al-Jumaily
Self-supervised learning model for skin cancer diagnosis. NER 2015: 1012-1015 - 2014
- [c6]Yee Mon Aung, Adel Al-Jumaily
A novel upper limb rehabilitation system with self-driven virtual arm illusion. EMBC 2014: 3614-3617 - [c5]Khairul Anam
Swarm-wavelet based extreme learning machine for finger movement classification on transradial amputees. EMBC 2014: 4192-4195 - [c4]Ammara Masood, Adel Al-Jumaily
Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM. ICONIP (2) 2014: 101-109 - [c3]Khairul Anam, Adel Al-Jumaily
Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography. ICONIP (1) 2014: 471-478 - 2013
- [c2]Khairul Anam
Two-channel surface electromyography for individual and combined finger movements. EMBC 2013: 4961-4964 - [c1]Khairul Anam, Adel Al-Jumaily
Real-time Classification of Finger Movements using Two-channel Surface Electromyography. NEUROTECHNIX 2013: 218-223
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