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 ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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 ...

Objectives To compare the effectiveness of different exercise interventions in improving sleep quality and alleviating insomnia severity among patients with insomnia. Design Our study design was a ...

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 ...