Abstract: This paper proposes an efficient method to estimate nonlinear dynamic models using convolutional neural networks (CNNs). The proposed method combines the power of statistical optimization ...

Abstract: This paper investigates the problem of course de-ployment for multiple unmanned surface vehicles (USVs) based on the nonlinear wave equation derived from the Norrbin model. The proposed ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

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Nonlinear optical (NLO) materials play a vital role in modern photonic technology, driving advancements in applications such ...

A linear equation is drawn as a straight line on a set of axes. To draw the graph we need coordinates. We generate these coordinates by substituting values into the linear equation. STEP 1 - Draw a ...

The NonLinLoc (Non-Linear Location) package is a set of programs for velocity model construction, travel-time calculation and probabilistic, non-linear, global-search earthquake location in 3D ...

Department of Materials Science & Engineering, Rajshahi University of Engineering & Technology (RUET), Rajshahi 6204, Bangladesh ...

Comprehensive Computational Neuroscience course materials (NYCU LSNS30045). Includes Python-based implementations of neural encoding models, spike-triggered averages, LIF & Hodgkin-Huxley simulations, ...