Abstract: Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

A piece in the October 2025 CTC Sentinel discusses how Hamas remains a durable organization despite significant degradation of its capabilities. This is according to a comprehensive analysis drawing ...

As blockchain technology matures and artificial intelligence accelerates, their convergence can reshape how production is created and distributed. For Pi Network, this moment highlights the importance ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

I am running a Bayesian network analysis in JASP and have calculated the centrality measures (Expected Influence, Closeness and Betweenness). However, I would also like to obtain the confidence ...

Chinese experts believe that “the U.S. undersea surveillance system suffers from a number of vulnerabilities," according to a U.S. Naval College professor. A PLAN submarine participates in a naval ...