In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning (ML) is being used in separation science, we interviewed Emery Boston from ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Abstract: Client selection can result in more homogeneous data and improve the generalization performance of the global model. In the actual training environment, the heterogeneity of client devices ...
1 Department of Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. 2 Department of Orthopedic Surgery, Affiliated Hospital of Youjiang Medical University ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Copyright: © 2025 The Authors. Published by Elsevier Ltd. SGLT2i (n = 57,749) and DPP4i (n = 87,807) initiations were identified amongst people of White (n = 114,287 ...
Background: Forward head posture frequently occurs among primary school children, potentially due to prolonged sedentary behavior associated with academic demands and reduced physical activity.
imagine you're playing a word game where you need to guess only threel words what strategy might you use to solve for all the words in this game one approach might be to just guess all of the letters ...
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