Abstract: Reliable and accurate wind power prediction is fundamental for efficient operation of wind energy system. However, the stochasticity and volatility cause a lot of colored noises, making wind ...
Abstract: This paper introduces a digital twin modeling method for hydropower systems with Kaplan turbines using probability density function (PDF) shaping. We first use multilayer perceptron (MLP) ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
Modelithics, the leading independent provider of accurate RF/microwave models for multiple electronic design automation (EDA) simulation software tools, is pleased to launch the NEW Modelithics ...
When compiling a C program that depends on ONNX Runtime with the -Werror=strict-prototypes flag enabled, the build fails due to function declarations in onnxruntime_c_api.h that are not strict ...
Introduction: Plant functional groups (PFGs) and plant density are two important characteristics of plant community dynamics; however, the main and interactive effects of PFGs and plant density on ...