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: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

Abstract: This article employs Python web scraping techniques to extract text data from videos on Bilibili. It then explores the impact of different text vectorization methods and classification ...

With four vector pipelines, Telairity Semiconductor's TVP400 combines the signal-processing features of a high-performance DSP and the control capabilities of a 32-bit microcontroller (see the figure) ...

The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training support ...

In this project the data is been used from UCI Machinery Repository. Main aim of this project is to predict telling tumor of each patient is Benign (class – 2) or Malignant (class – 4) the models used ...

What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains. We’ve been talking with search industry pros and ...

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An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern ...

Clinical decision support is one of digital health’s great promises. Faced with a surplus of information about a patient’s history and symptoms, algorithms built into electronic health records can ...