Search Results - "Adam, Asrul"

Distance Evaluated Simulated Kalman Filter Algorithm for Peak Classification of EEG Signals.

Authors: Adam, Asrul Muhammad, Badaruddin

Source: International Journal of Simulation: Systems, Science & Technology; Oct2018, Vol. 19 Issue 5, p6.1-6.7, 7p

Evaluation of Design Efficiency using Boothroyd Dewhurst Method for PCB Drilling Machine Products.

Authors: Shukor, Aqmal Idham Abdul Adam, Asrul

Source: International Journal of Simulation: Systems, Science & Technology; Oct2018, Vol. 19 Issue 5, p4.1-4.8, 8p

Improving EEG signal peak detection using feature weight learning of a neural network with random weights for eye event-related applications.

Authors: Adam, Asrul Ibrahim, Zuwairie Mokhtar, Norrima et al.

Source: Sādhanā: Academy Proceedings in Engineering Sciences. May2017, Vol. 42 Issue 5, p641-653. 13p.

Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal.

Authors: Adam, Asrul Ibrahim, Zuwairie Mokhtar, Norrima et al.

Source: SpringerPlus. 7/15/2016, Vol. 5 Issue 1, p1-14. 14p.

Pareto Optimality Concept for Incorporating Prior Knowledge for System Identification Problem with Insufficient Samples.

Authors: Shapiai, Mohd Ibrahim, Zuwairie Adam, Asrul

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Jul2017, Vol. 42 Issue 7, p2697-2710. 14p.

Feature selection and classifier parameters estimation for EEG signals peak detection using particle swarm optimization.

Authors: Adam A Shapiai MI Tumari MZ et al.

Source: TheScientificWorldJournal [ScientificWorldJournal] 2014; Vol. 2014, pp. 973063. Date of Electronic Publication: 2014 Aug 19.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101131163 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1537-744X (Electronic) Linking ISSN: 1537744X NLM ISO Abbreviation: ScientificWorldJournal Subsets: MEDLINE

Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals.

Authors: Adam A Ibrahim Z Mokhtar N et al.

Source: SpringerPlus [Springerplus] 2016 Sep 15; Vol. 5 (1), pp. 1580. Date of Electronic Publication: 2016 Sep 15 (Print Publication: 2016).

Publication Type: Journal Article

Journal Info: Publisher: SpringerPlus Country of Publication: Switzerland NLM ID: 101597967 Publication Model: eCollection Cited Medium: Print ISSN: 2193-1801 (Print) Linking ISSN: 21931801 NLM ISO Abbreviation: Springerplus Subsets: PubMed not MEDLINE