Abstract: This study presents an innovative method that relies on the perpetrator algorithm to restore the quality of digital images contaminated with the pulse noise. Thanks to the repetitive nature ...
Abstract: In order to address unconstrained optimization problems, conjugate gradient methods are frequently employed. When considering the unconstrained optimization issue, the accelerated conjugate ...
An international collaboration of astrophysicists that includes researchers from Yale has created and tested a detection system that uses gravitational waves to map out the locations of merging black ...
All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the solar wind, high-energy particle transport, and galaxy formation. Small-scale ...
Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
ABSTRACT: The fruit ripening process affects the nutritional content and quality. Many fruit species have become more acceptable and present high nutritional value for animal consumption. The avocado ...
Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...
Official implementation of GradES - a gradient-based selective training method that dynamically freezes converged modules during fine-tuning to achieve 40-50% computational savings without sacrificing ...
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