This article focuses on a solution architecture from CI/CD and ALM (Application Lifecycle Management) solution architectures for Dataflow Gen2 that relies on the variable libraries integration and is ...

Abstract: In this article, the extended back-electromotive force (EMF) is generalized to variable-axis, by orienting toward which, a universal auxiliary reference frame sliding-mode observer (ARF-SMO) ...

ABSTRACT: This paper offers a novel portrayal of the generalized Campanato space with variable exponents. By introducing the position-dependent weight function ω( x,r ) , the generalized variable ...

Nissan's innovative variable compression engines were a fascinating innovation when they were first revealed, but the jury is still out on whether or not the combustion technology will stick around. A ...

I'm constantly needing to refer to variable values in longer markdown sections across various notebooks. These frequently change and I have to painstakingly change the values manually. I would like 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 ...

High-dimensional statistical modelling addresses settings in which the number of candidate predictors far exceeds the number of observations. Such scenarios arise routinely in genomics, neuroimaging, ...

WASHINGTON — Leading up to the Super Bowl, it was unclear whether Kendrick Lamar would perform "Not Like Us," a diss track that decisively won his highly-publicized feud with Drake. If the multiple ...

Abstract: The article introduces a circulating current reference generator based on a constrained model predictive control (MPC) in modular multilevel converters (M2C) for drive applications. It aims ...

Reflection was essential to the advanced Java toolkit for years. Now it's being superseded by newer, safer options. Here's how to use MethodHandle and VarHandle to gain programmatic access to methods ...

ABSTRACT: A traditional method of Monte Carlo computer simulation is to obtain uniformly distributed random numbers on the interval from zero to one from a linear congruential generator (LCG) or other ...