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Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: An increase in ICT devices and services has led to a rise in carbon emissions. As a result, there is a growing demand for energy-efficient software; however, this demand remains unmet due to ...
Abstract: This study introduces a novel rectenna array that combines a dipole antenna with a loop antenna, using a rectifying diode as the dipole and two LEDs as the loop. The simulated ...
This paper studies the equilibrium and welfare implications of quantitative trade models with sector-level external economies of scale (EES). While empirical evidence highlights the importance of EES, ...
To improve weather hazard predictions without expensive simulations, a cost-effective stochastic downscaling model, CorrDiff, is trained using high-resolution weather data and coarser ERA5 reanalysis.
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