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A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation
This paper proposes a novel approach to predict epidemiological parameters by integrating new real-time signals from various sources of information, such as novel social media-based population density maps and Air Quality data.
Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model
Market manipulation is tackled through regulation in traditional markets because of its detrimental effect on market efficiency and many participating financial actors.
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