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.
The ISTA team’s interdisciplinary study combines expertise in information theory, mathematics, genomics, and software engineering. From left to right: Al Depope, Jakub Bajzik, Marco Mondelli, and ...
Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
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