Overview of the process of obtaining genomic diversity of influenza virus in a population replicated from a single particle. (a) MDCK cells were infected with influenza vi ...
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...
This study uses a valuable combination of functional magnetic resonance imaging and electroencephalography (EEG) to study brain activity related to prediction errors in relation to both sensorimotor ...
VIENNA — “We are going to change anemia treatment. We are going to change fistula control. The future is going to be AI (artificial intelligence),” declared Adrian C.M. Covic, MD, PhD, at the opening ...
The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, weight, current bank account ...
Josh Cotts is a Senior Contributor at Game Rant. He graduated Summa Cum Laude from Arizona State University in 2019 with a B.A. in Mass Communications & Media Studies and has been commended since ...
1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...
Rail corrugation, as a prevalent type of rail damage in heavy railways, induces diseases in the track structure. In order to ensure the safe operation of trains, an improved whale optimization ...
Abstract: Blind channel estimation for SIMO time-varying channels is considered using only the second-order statistics of the data. The time-varying channel is assumed to be described by a complex ...
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