Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...

In this valuable contribution, the authors present a novel and versatile probabilistic tool for classifying tracking behaviors and understanding parameters for different types of single-particle ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...

A predictive model using sex, mean corpuscular volume, gamma-glutamyltransferase, high-density lipoprotein cholesterol, and hemoglobin A1c values was the top-performing model for detecting MetALD-ALD.

Abstract: Due to the fast development of the use of solar energy, it is necessary to efficiently maintain and manage the waste of solar panels. Solar energy has been a source of sustainable and widely ...

The ADL ranked the leading large language models based on their ability to identify and counter ‘anti-Jewish’ and ‘anti-Zionist’ theories Anthropic’s artificial intelligence system is strongest at ...

Cuomo slammed his former colleague's repeated use of the "inhumane" term in a scathing video shared to X and Instagram on Wednesday, January 21. In his video, which he captioned "Be better!!," the ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Researchers in China have developed a novel deep learning model to detect defects in photovoltaic panels. The approach leverages high-resolution visible light imaging to identify defects using an ...