8 hours ago · The integration of the α-maxmin mean-VaR model with neural networks can indeed enhance risk assessment in financial applications. By combining the α-maxmin ...
Missing: Hazard | Show results with:Hazard
22 hours ago · This study proposes a comprehensive procedure for defining the segment‐specific activity rates and associated uncertainties in fault‐based PSHA for extensional ...
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12 hours ago · Neural networks enhance intrusion detection in federated learning environments by leveraging feature engineering techniques to improve model performance.
12 hours ago · Postdoctoral researcher Chris Szpilka has a passion for solving problems. Now a year into working with the Hub, she's patching holes and optimizing work...
Missing: Identification | Show results with:Identification
8 hours ago · AI has empowered us to unlock the true potential of imagery data, employing tailored algorithms for tasks such as classification, regression, clustering, ...
8 hours ago · The case study develops a fuzzy Bayesian approach to anticipate accident risks through predictive analysis by combining Bayesian networks and fuzzy logic.
10 hours ago · A prompt engineering technique called Chain of Numerical Reasoning leads AI models through a sequential logical and numerical reasoning process. By breaking ...
Missing: Hazard | Show results with:Hazard
21 hours ago · ML has emerged as a promising method for identifying patterns within complex data sets and predicting outcomes with a high degree of accuracy. By leveraging ML ...
13 hours ago · The first group of methods allows to set the risk level by assessing the degree of compliance with a certain set of information security requirements. The sec-.