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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Topological photonics has emerged as a powerful paradigm for achieving robust light transport that is immune to imperfections, disorder, and ...
Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...
Sum-frequency generation (SFG) is a powerful vibrational spectroscopy that can selectively probe molecular structures at surfaces and interfaces, but ...
A relatively new feature of generative AI is the ability to invoke nonlinear conversations. It has ups and downs in mental ...
A new technical paper titled “Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics” was ...
Research on gold nanoparticle-infused borotellurite glasses reveals enhanced nonlinear optical properties, making them ideal ...
A team of Ghanaian and South African mathematicians has earned global recognition for developing the Approximate Analytical Method, a ...
The short-term forecast volume of engine fuel consumption volumes will cater for nonlinear consumption factor, seasonality ...
Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...
Researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign have reported the first ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
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