Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...

The Department of the Air Force’s process for determining if airmen and Space Force guardians should receive medical waivers for shaving is about as indecipherable as the infamous flow chart about ...

Este artículo estará disponible en español en El Tiempo Latino. In his Rose Garden announcement of sweeping new “reciprocal tariffs,” President Donald Trump held aloft a misleading chart that claimed ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.

Abstract: PCA algorithm is a typical data dimensionality reduction method, which projects high-dimensional data to a lower-dimensional space to obtain a low-dimensional data set that can maximally ...

LONDON, Jan 3 (Reuters) - Global hedge funds taking long and short bets on stocks last year sported their highest average returns since 2020, Goldman Sachs said in a note, attributing the result to ...

In my consulting practice, innovation challenges that dogged teams having very good and experienced engineers for months or even years were resolved in a matter of days or hours. It was not magic; we ...

Blood oxygen saturation (SO 2 when evaluated in blood vessels, StO 2 when evaluated in tissues) is a vital physiological measure that quantifies the proportion of oxygen-bound hemoglobin in the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...

1 School of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, Guangdong, China 2 Guangdong Province Smart Ocean Sensor Network and Equipment Engineering Technology ...