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The CLDA approach can be applied to solve both detection and classification problems.
The usage of HOS as a feature extraction technique for PQ monitoring systems is very promising, and several recent works presented good results with respect to both detection and classification tasks.
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Segmentation approach: detection-and-classification.
Hereafter, we refer to it as the detection-and-classification approach.
Thus, statistical tests are employed for both jamming detection and classification but the methodology followed for jamming detection and classification is completely different as detailed below.
In Section 4, we explain our proposed model for both the detection and classification of jamming attacks.
We propose to apply optimized one-class support vector machines (1-SVMs) to tackle both sound detection and classification tasks in the sound recognition process.
Our future work will focus on further improving the classification accuracy of both the detection and classification algorithms, as well as expanding the study on a larger number of cases and more pathologists.
Characterising newborn EEG seizure nonstationarities helps to better understand their time-varying nature and, therefore, allow developing efficient signal processing methods for both modelling and seizure detection and classification.
The vehicle detection and classification steps outlined in the flow chart are followed by both the visual and thermal image classification systems.
Continuous Change Detection and Classification.
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