Khairul Anam

21 papers Journal 4Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluation of LSTM for predicting grip strength using electromyography: a comparison of setups and methods.
Neural Comput. Appl.
Khairul Anam, Ahmad Sudrajat, Naufal Ainur Rizal, Gramandha Wega Intyanto, Wahyu Muldayani, Mohamad Agung Prawira Negara, Sumardi, Saiful Bukhori, Made Santo Gitakarma, Claudio Castellini
2025 — conf
Force Myography Shows Higher Correlation to Force Output Compared to ARV EMG Features.
ICORR
Marek Sierotowicz, Claudio Castellini, Khairul Anam
2020 J jnl
Hierarchical linear and nonlinear adaptive learning model for system identification and prediction.
Appl. Intell.
Mohammad Abu Jami'in, Khairul Anam, Riries Rulaningtyas, Urip Mudjiono, Adianto Adianto, Hui-Ming Wee
2020 — conf
Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition.
EMBC
Khairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama
2018 J jnl
Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal.
Medical Biol. Eng. Comput.
Pornchai Phukpattaranont, Sirinee Thongpanja, Khairul Anam, Adel Al-Jumaily, Chusak Limsakul
2017 — conf
Evaluation of Randomized Variable Translation Wavelet Neural Networks.
SCDS
Khairul Anam, Adel Al-Jumaily
2017 J jnl
Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees.
Neural Networks
Khairul Anam, Adel Al-Jumaily
2016 — conf
Adaptive myoelectric pattern recognition for arm movement in different positions using advanced online sequential extreme learning machine.
EMBC
Khairul Anam, Adel Al-Jumaily
2016 — —
Bio-driven control system for the rehabilitation hand device : a new approach
Khairul Anam
2016 — conf
Estimation of torque for knee joint using frequency domain features for rehabilitation robot biomechanics.
BioRob
Tanvir Anwar, Khairul Anam
2015 — conf
A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMG.
NER
Khairul Anam, Adel Al-Jumaily
2015 — conf
A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification.
EMBC
Khairul Anam, Adel Al-Jumaily
2015 — conf
Continuous prediction of shoulder joint angle in real-time.
NER
Yee Mon Aung, Khairul Anam, Adel Al-Jumaily
2015 — conf
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)
Tanvir Anwar, Khairul Anam, Adel Al-Jumaily
2015 — conf
Self-supervised learning model for skin cancer diagnosis.
NER
Ammara Masood, Adel Al-Jumaily, Khairul Anam
2014 — conf
A novel upper limb rehabilitation system with self-driven virtual arm illusion.
EMBC
Yee Mon Aung, Adel Al-Jumaily, Khairul Anam
2014 — conf
Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography.
ICONIP (1)
Khairul Anam, Adel Al-Jumaily
2014 — conf
Swarm-wavelet based extreme learning machine for finger movement classification on transradial amputees.
EMBC
Khairul Anam, Adel Al-Jumaily
2014 — conf
Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM.
ICONIP (2)
Ammara Masood, Adel Al-Jumaily, Khairul Anam
2013 — conf
Real-time Classification of Finger Movements using Two-channel Surface Electromyography.
NEUROTECHNIX
Khairul Anam, Adel Al-Jumaily
2013 — conf
Two-channel surface electromyography for individual and combined finger movements.
EMBC
Khairul Anam, Rami N. Khushaba, Adel Al-Jumaily