Sentence examples for behavioral classification from inspiring English sources

We recapitulated reported findings on insect gait dynamics and demonstrated LEAP's applicability for unsupervised behavioral classification.

Trying to fit these structures into the traditional behavioral classification scheme of Seilacher is bound to fail.

Based on analysis of the 6 s interval images, the algorithm had the following accuracy of behavioral classification: 99.9% in lying, 96.4% in sitting, 99.2% in standing, 78.1% in kneeling, 97.4% in feeding, 92.7% in drinking, and 63.9% in transitioning between behaviors.

In addition, their proposed data mining methodology is more proficient for identifying malware and behavioral classification of malware can be helpful to recognize malware in a behavioral antivirus.

The objective behind the behavioral classification of these design requirements is to analyze the driving power and dependence powers that influence the design requirements of electricity utility service.

To enhance confidence in metabolites indicative of behavioral classification, a larger cohort is required.

We also show that behavioral and statistical classification approaches such as BLINC, SVM and C4.5 achieve up to 50% better classification accuracy compared to Sampled NetFlow, while not impairing existing management tasks such as volume estimation too much.

Behavioral, neurophysiological, and classification indices unanimously attest an advantage (i.e., less errors, larger ERP amplitude, better classification) of overt attention over covert attention, and an advantage of Hex-o-Spell over Matrix.

This method uses all three piezocone penetration test (CPTu) readings in a soil behavioral type (SBT) classification chart and provides estimations of axial pile capacity for a wide variety of pile types installed in different assortments of geomaterials.

Due to the measured behavioral responses, the classification approach contains a certain bias towards understanding neuromuscular effects.

First, as in the case of PCE, different brain states may not necessarily give rise to different behavior and using behavioral data for brain state classification may not inform us about the neural correlates of behavior.