Browsing Faculty Contributions by Subject "K-nearest neighbors"
Now showing items 1-3 of 3
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Assessing the relation between mud components and rheology for loss circulation prevention using polymeric gels: A machine learning approach
( MDPI AG , 2021 , Article)The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce ... -
Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals
( IEEE , 2013 , Conference Paper)Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ... -
Evidence theory-based approach for epileptic seizure detection using EEG signals
( IEEE , 2012 , Conference Paper)Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ...