Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Considering the co-existence of the measured variables and the control variables in chemical process, a wavelons-constructed autoencoder-based deep neural network (WA-DNN) method is proposed in this ...

Despite achieving exceptional performance, deep neural networks (DNNs) suffer from the harassment caused by adversarial examples, which are produced by corrupting clean examples with tiny ...

As the saying goes, we never stop learning. This is especially important in today’s job market, whether you are already ...

Researchers have developed a new hybrid earthquake early warning system called HEWFERS, which leverages advanced machine learning techniques and ...

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid discovery in biology, medicine, and synthetic biology—along with key ethical ...

Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.

What makes this development especially revolutionary in battery research is the integration of physics-informed principles into neural networks. Traditional neural networks are data-driven models that ...