Abstract: In this work, we present a contribution on the applicability of the recursive least squares method used for the parametric identification of a corona discharge phenomenon at small distances.
This study aimed to identify the influencing factors associated with sleep quality among undergraduates in Jiangsu, China, and to explore their complex relationships. A cross-sectional survey was ...
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Abstract: The forgetting factor is the main control parameter of the recursive least-squares (RLS) algorithm, which is set to balance between the estimate accuracy and the tracking capability.
Square Enix unveiled a bold strategy that could have far-reaching implications for the games industry, as the Japanese publisher aims to use generative AI to automate 70% of game QA and debugging by ...
ABSTRACT: With the deep penetration of modern technology into the agricultural field, greenhouses have become an indispensable part of agricultural production, and the demand for internal navigation ...
In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
従来の量子最小二乗法が持つスケーラビリティと精度を改善する、量子アニーリングを用いた反復量子アシスト型最小二乗法最適化の提案。解空間を繰り返し細分化することで、1反復あたり ...
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