Norrima Mokhtar

TL;DR: A set of features including kurtosis, variance, Shannon's entropy, and range of amplitude are proposed as training and test data of SVM to identify eye blink artifacts in EEG signals to enable fully automated identification and removal of artifacts from EEG signals, without applying any arbitrary thresholding.

TL;DR: A review of CNN implementation on civil structure crack detection in the perspective of image pre-processing techniques, processing hardware, software tools, datasets, network architectures, learning procedures, loss functions, and network performance.

TL;DR: No study has been conducted in Kelantan, the northeastern state of Malaysia, to assess these cutaneous reactions to drugs, and toxic epidermal necrolysis (TEN) is mainly related to drugs.

TL;DR: The prevalence of diabetes mellitus and impaired glucose tolerance was high and they were associated with a high prevalence of obesity, hypertension and hypercholesterolaemia.

TL;DR: The experimental results have shown that the proposed AMSKF feature selector is able to find the best combination of features and performs at par with the existing related studies of epileptic EEG events classification.