Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...

Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

Take advantage of the MethodImplAttribute class in C# to inline methods and improve the execution speed of your .NET applications. The Just-In-Time (JIT) compiler is a component of the Common Language ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

Abstract: Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

The wide field of view of fisheye cameras introduces significant image distortion, making accurate depth estimation more challenging compared to pinhole camera models. This paper proposes a fisheye ...

Abstract: Induction motor drive systems without rotation speed sensors are already in practical use in many products. In recent years, the efficiency of induction motors has increased, and the ...