RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has ...
Great content still wins in AI search, but AI queries are longer and far more complicated, according to Google’s Robby Stein.
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, ...
Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...
In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...
Warren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, ...
Multi-Objective Whale Optimization Algorithm Based on Elite Information Guided for Feature Selection
Abstract: Multi-objective optimization can greatly reduce the dimensionality of the data. However, this method is prone to fall into local optima when searching for features, resulting in reduced ...
Pfizer Chemical Research and Development, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States ...
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