Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...

Introduction: As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible ...

This study evaluates the predictive performance of traditional and machine learning-based models in forecasting NFL team winning percentages over a 21-season dataset (2003–2023). Specifically, we ...

Multielement high-entropy carbides (HECs) provide many opportunities for HECs to obtain optimal combinations of various properties, e.g., high strength and high flexibility, leading to high toughness.

This repo is forked from verl. We build our code on the dapo recipe. Before training, you need to ensure that the AIME, AIME25 and AMC datasets are with "data_source" of "aime", "aime25" and "amc" ...

Recent advances in reasoning-centric large language models (LLMs) have expanded the scope of reinforcement learning (RL) beyond narrow, task-specific applications, enabling broader generalization and ...

ABSTRACT: This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model in classifying lung cancer from ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sample graph, where ...

Update: On Dec. 10, 2025, the FDA expanded the ByHeart recall to include all formula the company has ever produced. If you have ByHeart Whole Nutrition infant formula, stop using it immediately.