Risk prediction plays an important role in network security which can be used to predict riskiest parts and then proactive measures can be adopted to avoid potential damage. Most existing literature ...

In the HSDA.FS algorithm, the diversity parameter is added based on the gene value, and their risk score of the lncRNAs is computed using the Artificial intelligence (AI) technique. Finally, ...

“This paper presents a novel and integrated risk-cost framework for designing and operating coupled PV-electrolyzer systems,” said corresponding author Stefan Niederhofer to pv magazine.

ABSTRACT This article aims to present a Multicriteria Decision Aiding (MCDA) model for assessing risk management maturity. Therefore, it is proposed to use a Maturity Model (MM) for risk management ...

Due to the extensive residues of phenylurea herbicides (PUHs) in the environment, it is important for the ecological risk assessment of PUHs to determine their environmental risk limits and identify ...

The library also focuses on the predictability interpretation of the risk model, and provides a few benchmarks to examine the following metrics Bias Value at Risk (VaR) For example, to examine the ...