Two-channel surface electromyography for individual and combined finger movements. - Khairul Anam; Rami N. Khushaba; Adel Al-Jumaily (EMBC, 2013)

Real-time Classification of Finger Movements using Two-channel Surface Electromyography. - Khairul Anam; Adel Al-Jumaily (NEUROTECHNIX, 2013)

Swarm-wavelet based extreme learning machine for finger movement classification on transradial amputees. - Khairul Anam; Adel Al-Jumaily (EMBC, 2014)

A novel upper limb rehabilitation system with self-driven virtual arm illusion. - Yee Mon Aung; Adel Al-Jumaily; Khairul Anam (EMBC, 2014)

Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography. - Khairul Anam; Adel Al-Jumaily (ICONIP (1), 2014)

Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM. - Ammara Masood; Adel Al-Jumaily; Khairul Anam (ICONIP (2), 2014)

A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification. - Khairul Anam; Adel Al-Jumaily (EMBC, 2015)

EMG Signal Based Knee Joint Angle Estimation of Flexion and Extension with Extreme Learning Machine (ELM) for Enhancement of Patient-Robotic Exoskeleton Interaction. - Tanvir Anwar; Khairul Anam; Adel Al-Jumaily (ICONIP (1), 2015)

A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMG. - Khairul Anam; Adel Al-Jumaily (NER, 2015)

Continuous prediction of shoulder joint angle in real-time. - Yee Mon Aung; Khairul Anam; Adel Al-Jumaily (NER, 2015)

Self-supervised learning model for skin cancer diagnosis. - Ammara Masood; Adel Al-Jumaily; Khairul Anam (NER, 2015)

Estimation of torque for knee joint using frequency domain features for rehabilitation robot biomechanics. - Tanvir Anwar; Khairul Anam (BioRob, 2016)

Adaptive myoelectric pattern recognition for arm movement in different positions using advanced online sequential extreme learning machine. - Khairul Anam; Adel Al-Jumaily (EMBC, 2016)

Bio-driven control system for the rehabilitation hand device : a new approach - Khairul Anam (2016)

Evaluation of Randomized Variable Translation Wavelet Neural Networks. - Khairul Anam; Adel Al-Jumaily (SCDS, 2017)

Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees. - Khairul Anam; Adel Al-Jumaily (Neural Networks, 2017)

Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal. - Pornchai Phukpattaranont; Sirinee Thongpanja; Khairul Anam; Adel Al-Jumaily; Chusak Limsakul (Medical Biol. Eng. Comput., 2018)

Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition. - Khairul Anam; Saiful Bukhori; Faruq Sandi Hanggara; Mahardhika Pratama (EMBC, 2020)

Hierarchical linear and nonlinear adaptive learning model for system identification and prediction. - Mohammad Abu Jami'in; Khairul Anam; Riries Rulaningtyas; Urip Mudjiono; Adianto Adianto; Hui-Ming Wee (Appl. Intell., 2020)

Force Myography Shows Higher Correlation to Force Output Compared to ARV EMG Features. - Marek Sierotowicz; Claudio Castellini; Khairul Anam (ICORR, 2025)

Evaluation of LSTM for predicting grip strength using electromyography: a comparison of setups and methods. - Khairul Anam; Ahmad Sudrajat; Naufal Ainur Rizal; Gramandha Wega Intyanto; Wahyu Muldayani; Mohamad Agung Prawira Negara; Sumardi; Saiful Bukhori; Made Santo Gitakarma; Claudio Castellini (Neural Comput. Appl., 2025)