Claude writes confident MATLAB code, but it sometimes makes up function names that don't exist in R2025b. These skills fix that. They give Claude a quick-reference of tricky APIs, deprecated functions ...

Abstract: As PV systems become more integrated into power grids, challenges arise in optimizing power flow and maintaining stability amid fluctuating load conditions. Variations in solar energy output ...

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...

Object detection is a critical task in computer vision, involving the identification and localization of objects within an image 1. Object detection algorithms typically extract meaningful results ...

This study focuses on optimizing and predicting the drilling performance of Fiber Metal Laminates (FMLs) reinforced with BaSO 4 nanoparticles, achieved by adjusting parameters like spindle speed, feed ...

Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...

The global interest in market prediction has driven the adoption of advanced technologies beyond traditional statistical models. This paper explores the use of machine learning and deep learning ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...

The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and ...

Abstract: To test the ideas of machine learning, effects of preprocessing and Region of Interest (ROI) segmentation on the performance of Content Based Medical Image Retrieval (CBMIR) Systems, we have ...