Search Results - (( wave optimization bees algorithm ) OR ( pattern extraction window algorithm ))
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Design of intelligent Qira’at identification algorithm
Published 2017“…The process of the SPAP Algorithm is to extend parameters of the Affine Projection Block with two different selections of windowing length that affect the final accuracy on pattern classification. …”
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Thesis -
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The discovery of Top-K DNA frequent patterns with approximate method / Nittaya Kerdprasop and Kittisak Kerdprasop
Published 2014“…Top-k frequent pattern discovery is indeed an association analysis concerning automatic extraction of the k most correlated and interesting patterns from large databases. …”
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EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique
Published 2018“…A predefined window size can be used to reducethe overall processing time. …”
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EEG-Based Biometric Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2018“…A predefined window size can be used to reduce the overall processing time. …”
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Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area
Published 2014“…These images were processed for the correction of atmospheric and geometric. In addition, the extraction of land surface temperature was done by using the model of the mono-window algorithm. …”
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Proceeding Paper -
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Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area / Illyani Ibrahim ... [et al.]
Published 2014“…This image was processed for appropriate atmospheric and geometric correction and the extraction of land surface temperature by using the model of the mono-window algorithm. …”
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Conference or Workshop Item -
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EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm is able to control the size of training pool using predefined window size threshold. …”
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A hybrid environment control system combining EMG and SSVEP signal based on brain-computer interface technology
Published 2021“…The feature in terms of the common spatial pattern (CSP) has been extracted from four classes of SSVEP response, and extracted feature has been classified using K-nearest neighbors (k-NN) based classification algorithm. …”
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