Faculty of Electrical Engineering

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Thin films Engineering & Materials Science
Zinc oxide Engineering & Materials Science
Electric potential Engineering & Materials Science
Neural networks Engineering & Materials Science
Antennas Engineering & Materials Science
Substrates Engineering & Materials Science
Zinc Oxide Chemical Compounds
Sensors Engineering & Materials Science

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Research Output 1991 2019


Comparison between support vector machine with polynomial and RBF kernels performance in recognizing EEG signals of dyslexic children

Zainuddin, A. Z. A., Mansor, W., Lee, Y. K. & Mahmoodin, Z., Jan 1 2019, In : IFMBE Proceedings. 68, 3, p. 93-97 5 p.

Research output: Contribution to journalConference article

Support vector machines
Discrete wavelet transforms
Feature extraction
Soft computing
Evolutionary algorithms
Particle swarm optimization (PSO)
Genetic algorithms