The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...
The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...
Abstract: The choice of activation functions is crucial to deep neural networks. ReLU is a popular hand-designed activation function. Swish, the automatically searched activation function, outperforms ...
Linear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to teach students how ...
A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [1]. The algorithm uses an iterative search to find ...
Abstract: In this paper, a new methodology for curve approximation is presented. The method is suitable for both self-intersected and non self-intersected curves, it combines elements from graph ...
Department of Electronics Engineering, Indian Institute of Technology (ISM), Dhanbad, India In this paper, a landmark based approach, using five different interpolating polynomials (linear, cubic ...
Hello, when attempting to generate a piecewise membership using the package, it is not clear to me how the piecemf function is working. After having attempted to reverse engineer the source code, it ...
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