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Found 5 papers, 0 papers with code
Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach
Predicting financial returns accurately poses a significant challenge due to the inherent uncertainty in financial time series data.
Model Predictive Control with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam
In recent years, SCADA (Supervisory Control and Data Acquisition) systems have increasingly become the target of cyber attacks.
Hawkes-based cryptocurrency forecasting via Limit Order Book data
Accurately forecasting the direction of financial returns poses a formidable challenge, given the inherent unpredictability of financial time series.
Split-Boost Neural Networks
The calibration and training of a neural network is a complex and time-consuming procedure that requires significant computational resources to achieve satisfactory results.
Scenario-based model predictive control of water reservoir systems
The optimal operation of water reservoir systems is a challenging task involving multiple conflicting objectives.
