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 ...
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Tech Xplore on MSNOptical remote sensing technology helps monitor aircraft emissionsA 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.
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