Berrenur Saylam

Berrenur Saylam

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Berrenur Saylam is a researcher who has utilized advanced neural network architectures to predict well-being indicators, including anxiety, in workplace environments, enhancing the field of mental health assessment.

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Berrenur Saylam published work that utilized an architecture called LSTM to predict well-being indicators, including anxiety.

O que os movimentos do corpo podem revelar sobre os níveis de ansiedade?
O Globo·BrazilBrazil· 2026-09-16
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