Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...
Valve sent the gaming world into a tizzy when it unveiled a new slate of hardware last month, which includes a small cube dubbed the Steam Machine. Once the initial excitement died down, fans noticed ...
A study of recent electoral cycles in Romania, Bulgaria and Kosovo shows what can happen when algorithms are allowed to hack democracy. This new ‘TikTokcracy’ must not go unchallenged. In December ...
The government shutdown may be nearing its end, but the delayed distribution of food assistance funds continues to pose a threat to Americans, including the basic needs security of college students.
Researchers analyzed clinical data and RNA expression from the peripheral blood of 174 patients with gout and hyperuricemia that had been collected at week 48 of their participation in the STOP Gout ...
In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.
1 Department of Pediatrics, The First People’s Hospital of Nantong (Second Affiliated Hospital of Nantong University), Nantong, China 2 School of Nursing and Rehabilitation, Nantong University, ...
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.
Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...
A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...
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