PUBLIKASI

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Research Gate

Scopus

Journal:

  • Anam, K., Al Jumaily, A., Maali, Y., (2014). Index finger motion recognition using self-advise support vector machine. International Journal on Smart Sensing and Intelligent Systems, 7(2), 644-657.

Book section:

  • Anwar, T., Anam, K, Al-Jumaily, A (2015). EMG Signal Based Knee Joint Angle Estimation of Flexion and Extension with Extreme Learning Machine (ELM) for Enhancement of Patient-Robotic Exoskeleton Interaction. Neural Information Processing (Vol. 9489, pp. 583-590): Springer International Publishing
  • Anam, K., & Al-Jumaily, A.(2014). Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography. In C. Loo, K. Yap, K. Wong, A. Teoh & K. Huang (Eds.), Neural Information Processing (Vol. 8834, pp. 471-478): Springer International Publishing.
  • Masood, A., Al-Jumaily, A., & Anam, K. (2014). Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM. In C. Loo, K. Yap, K. Wong, A. Teoh & K. Huang (Eds.), Neural Information Processing (Vol. 8835, pp. 101-109): Springer International Publishing.

Conference:

  • Anam, K. and A. Al-Jumaily (2015). A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy
  • Anam, K., & Al-Jumaily, A. (2015, 22-24 April 2015). A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMG. Paper presented at the 7th International IEEE/EMBS Conference on Neural Engineering (NER), Montpellier, France
  • Yee Mon, A., Anam, K., & Al-Jumaily, A. (2015, 22-24 April 2015). Continuous prediction of shoulder joint angle in real-time. Paper presented at the 7th International IEEE/EMBS Conference on Neural Engineering (NER), Montpellier, France
  • Masood, A., Al-Jumaily, A., & Anam, K. (2015, 22-24 April 2015). Self-supervised learning model for skin cancer diagnosis. Paper presented at the 7th International IEEE/EMBS Conference on Neural Engineering (NER), Montpellier, France
  • Anam, K., & Al-Jumaily, A. (2014, 26-30 Aug. 2014). Swarm-wavelet based extreme learning machine for finger movement classification on transradial amputees. Paper presented at the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, USA
  • Aung, Y. M., Al-Jumaily, A., & Anam, K. (2014). A novel upper limb rehabilitation system with self-driven virtual arm illusion. The 2014 36th Annual International Conference of the IEEE. Engineering in Medicine and Biology Society (EMBC), Chicago, USA
  • Anam, K., & Al-Jumaily, A. A. (2014, 17-20 Feb. 2014). Swarm-based extreme learning machine for finger movement recognition. Paper presented at the 2014 Middle East Conference on Biomedical Engineering (MECBME), Doha, Qatar.
  • Anam, K., & Al-jumaily, A. (2013). Real-time Classification of Finger Movements using Two-channel Surface Electromyography. Proceedings of the International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX), Portugal
  • Anam, K., Khushaba, R. N., & Al-Jumaily, A. (2013, Aug). Two-channel surface electromyography for individual and combined finger movements. Paper presented at the Proc. 35th Ann. Int. Conf. IEEE-EMBS Eng. Med. Biol. Soc.
  • Mahmoud, M. K. A., Al-Jumaily, A., Maali, Y., & Anam, K. (2013). Classification of Malignant Melanoma and Benign Nevi from Skin Lesions Based on Support Vector Machine. Paper presented at the 2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation (CIMSim)
  • Anam, K., & Al-Jumaily, A. A. (2012). Active exoskeleton control systems: State of the art. Procedia Engineering, 41, 988-994.

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