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

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 ...

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

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

GDP prediction is a complex task, influenced by multiple economic factors such as government expenditure, foreign direct investment (FDI), remittance inflows, inflation, and official development aid.

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

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

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

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

Abstract: This paper proposes a novel nonlinear model predictive control (NMPC) method based on geometric variational calculus for high-dynamic and complex motion ...

Nvidia Corporation's AI growth surges with record revenues, rising automotive demand, and enterprise expansion. Click for my post-earnings NVDA stock review.

Researchers compared two types of observers: a classical extended Luenberger observer and a nonlinear observer to the production of B. thuringiensis.