Abstract: The doubly-fed induction generator (DFIG) is prone to losing control due to high rotor EMF during severe grid faults. Therefore, calculating the maximum rotor EMF of DFIG under different ...

Abstract: A parallel parking path planning method aiming at the automatic parking application scene of parallel parking in narrow space of urban roadside parking lot is proposed in the paper, based on ...

Abstract: Extracting ground points from LiDAR point clouds is essential for constructing digital terrain models (DTMs). This article presents a filtering method with strip curve fitting, based on the ...

Fire Crews responded to a large-scale brush fire that burned around 100 acres at two separate locations in Moyock Saturday afternoon, according to Chesapeake Fire Department. A Coinjock man was ...

Abstract: Wind power curve modeling is essential in the analysis and control of wind turbines (WTs), and data preprocessing is a critical step in accurate curve modeling. As traditional methods do not ...

Hey guys! In today's video, I will be sharing with you how I did my boho passion twist! This is a great protective style and super lightweight! I used 5 packs of Freetress Water Wave 22 inch hair in ...

In this tutorial, we find and plot a catenary curve using GlowScript Python, walking through the math, physics, and code step by step. Learn how to model a hanging cable, visualize the curve, and ...

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...

Abstract: This paper is devoted to the study of Raman spectroscopy of blood serum for the diagnosis of chronic heart failure (CHF). The aim of the research is to develop an effective approach that ...

Sometimes gardeners stray away from succulents because they've had poor success growing them indoors. Other times gardeners hear how easy they are to grow, buy them, and then watch them wither away.

Abstract: Physics-informed neural networks (PINNs) are not dependent on data-driven methods but are solely constrained by physical laws. This makes them more aligned with the ideal inverse design ...