Abstract: This paper presents a comprehensive evaluation of the effect of quasi oppositional - based learning method utilization in output tracking control through a swarm-based multivariable ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
Learn to choose coordinate systems, visualize multivariable functions, and parameterize curves. You can use these live scripts as demonstrations in lectures, class activities, or interactive ...
Finding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function across multiple ...
In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To ...
Functional connectivity analyses are typically based on matrices containing bivariate measures of covariability, such as correlations. Although this has been a fruitful approach, it may not be the ...
Abstract: In this paper, an extended version of the FOTF Toolbox is presented which can be used to handle multivariable fractional-order transfer function matrices. A good interface is provided on top ...
1 Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia. 2 Faculty of Economics and Management of Nabeul, Carthage University, Tunis, Tunisia. This paper deals with the global ...
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