This review explores AI and machine learning (ML) in the early detection, prediction, and assessment of neural tube defects (NTDs) through prenatal ultrasound imaging. Recent studies highlight the ...

As chemical processes become increasingly digitized and data-rich, the need for intelligent, structure-aware anomaly detection methods has never been more critical. This Research Topic aims to bring ...

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting ...

"As global lunar activities increase, threats in cislunar orbits will quickly follow." True Anomaly will take its space-security work far afield next year. The Colorado-based startup, which aims ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

To do object recognition, you use things called neural networks. Basically, that's another way of describing artificial ... Because apple is a normative noun and anomaly is a relational noun. What you ...

Abstract: Three-dimensional magnetic anomaly inversion is regarded as one of the most effective methods for accurately retrieving subsurface magnetization distributions. However, existing deep ...

NASA has been monitoring a strange anomaly in Earth's magnetic field: a giant region of lower magnetic intensity in the skies above the planet, stretching out between South America and southwest ...

Furthermore, many peripheral neural stem cells that migrate out of the neural tube can differentiate into mature neurons and, to a limited extent, glial cells during embryonic and postnatal ...