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A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm
In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...
Analysis of heart rate deflection points to predict the anaerobic threshold by a computerized method
(Human Kinetics Pub., 2014)
A discrete choice model incorporating thresholds for perception in attribute values
(PERGAMON-ELSEVIER SCIENCE LTD, 2006)
In this paper we formulate a discrete choice model that incorporates thresholds in the perception of changes in attribute values. The model considers multiple options and allows for changes in several attributes. We postulate ...
Design and Evaluation of a Method to Derive Domain Metric Thresholds
(Universidade Federal de Minas GeraisUFMG, 2018-08-24)
Software metrics provide means to quantify several attributes of software systems. The effective measurement is dependent on appropriate metric thresholds as they allow characterizing the quality of software systems. Indeed, ...
Anaerobic threshold estimation by statistical modelling.
(1989-12-01)
Anaerobic threshold (AT) is usually estimated as a change point problem by visual analysis of the cardiorespiratory response to incremental dynamic exercise. In this study, two phase linear (TPL) models of the linear-linear ...
Anaerobic threshold estimation by statistical modelling.
(1989-12-01)
Anaerobic threshold (AT) is usually estimated as a change point problem by visual analysis of the cardiorespiratory response to incremental dynamic exercise. In this study, two phase linear (TPL) models of the linear-linear ...
Extreme dependence with asymmetric thresholds: Evidence for the European Monetary Union
(ELSEVIER SCIENCE BV, 2012)
Q-borderenergetic threshold graphsQ-borderenergetic threshold graphs
(Universidade Federal de Santa Maria, 2020)
A semi-compensatory discrete choice model with explicit attribute thresholds of perception
(PERGAMON-ELSEVIER SCIENCE LTD, 2005)
Random utility models are typically based on the assumptions that individuals exhibit compensatory behaviour and that their choice sets are pre-specified. These assumptions may be unrealistic in many practical cases; in ...