Berrenur Saylam
researcher
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.
Global Media Ratings
Dominance
0.00%
Persistence
0 wks
Reach
449,999
Power
3,198$
Sentiment
7.00
Countries Mentioned
| Country | Mentions | Sentiment | Dominance | + Persistence | x Population | = Reach | x GDP (millions) | = Power |
|---|---|---|---|---|---|---|---|---|
| Brazil | 1 | 7.00 | 0.21% | +0% | 211,049,527 | 449,999 | $1,500,000 | 3,198$ |
| Totals | 1 | 211,049,527 | 449,999 | $1,500,000 | 3,198$ |
Interactive World Map
Each country's color is based on "Mentions" from the table above.
Recent Mentions
Brazil:
Berrenur Saylam published work that utilized an architecture called LSTM to predict well-being indicators, including anxiety.
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