The El Niño-Southern Oscillation (ENSO), the most prominent interannual climate variability signal, has been widely studied for its teleconnections with Antarctic sea ice variability. However, its ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

A new study from Penn State suggests that artificial intelligence, specifically machine learning, could help predict ...

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six ...

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed an advanced ...

Accurate estimation of the State of Charge (SoC) in lithium-ion batteries is a pivotal factor for optimizing the performance, ...

Sensor degradation poses a critical yet often overlooked challenge in accurately predicting the remaining useful life (RUL) ...

This article discusses first-principle blend model architecture used traditionally by refineries, including its pros and cons. This text also explores the concept and trend of using artificial ...

Cancer recurrence prediction is inherently complex due to the interplay of genetic, environmental, and treatment-related ...