Titlebook: Computational Science and Its Applications – ICCSA 2024; 24th International C Osvaldo Gervasi,Beniamino Murgante,Maria Noelia Fa Conference

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John L. Falk,Herman H. Samson,Maisy Tang state of low-resource languages. This study focuses on the application of state-of-the-art speech recognition models, specifically Facebook’s Wav2Vec2.0 and Wav2Vec2-XLSR, to the Kazakh language. The primary objective is to evaluate the performance of these models in transcribing spoken Kazakh cont

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The Metabolic Basis of Ethanol Toxicityharacteristics and desires of social groups, to a crucial digital platform for political campaigns and social influence. Here, we present an exploratory study of social data gathered from Twitter during the second round of the 2018 Brazilian Presidential Election. The study used complex network anal

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A Perspective on Teenage Drinkings the relevant information about summarized characteristics of the employees and departments. Formation of competency profiles of employees and their visualization by Data Mining methods allows to obtain justification for decisions, even if the profession does not have clear standards and evaluation

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Functions and Dysfunctions of Alcohols. While sensor-based solutions have been explored before, recent advancements in machine learning have provided alternative deep-learning approaches for constantly checking if the smartphone’s user is genuine. We put forward a hybrid deep convolutional neural network model named SE-DeepConvNet, whi

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Functions and Dysfunctions of Alcoholthat cannot be verified beforehand. That is the case of transactions involving a buyer who is physically distant from an unknown or anonymous seller as in online, e-commerce scenarios. To increase gains, the seller may be compelled to act dishonestly and not deliver the goods. It is thus of interest

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