Abstract: Various hyperparameters are used in the design phase of artificial neural networks (ANNs). One of the hyperparameters that significantly affects the performance of ANNs is the optimization ...

Abstract: The modulating function method is an integral transform method that has been used for state and parameter estimation of lumped systems, as well as estimation of distributed and ...

The glymphatic system is a glial-dependent waste clearance pathway in the central nervous system (CNS) of vertebrates that exploits the perivascular compartment between the vascular basement membrane ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Electromagnetic scattering is a fundamental process in which incident electromagnetic waves interact with objects, leading to redirection and dispersion of the waves. Basis function methods, including ...

A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...

A new method of scanning lungs is able to show in real time how air moves in and out of the lungs as people take a breath in patients with asthma, chronic obstructive pulmonary disease (COPD), and ...

Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating higher order ...

While we anticipated many of the difficulties we've faced writing Jacobin, one we didn't foresee is how much the JDK relies on native functions. For the time being, we've replaced many of those native ...

A comprehensive cheat sheet for JavaScript methods across different data types. This repository provides quick references for string, array, number, object and date methods in JavaScript. Each cheat ...