Huang, H. (2025) Institutional and Fiscal Determinants of Non-Performing Loans: Empirical Evidence from the Post-COVID-19 ...
Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...
PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Background Many individuals initiating tuberculosis (TB) treatment do not successfully complete the regimen. Understanding variation in treatment outcomes could reveal opportunities to improve the ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Abstract: Learning-enabled components (LECs) are widely used in cyber-physical systems (CPS) since they can handle the uncertainty and variability of the environment and increase the level of autonomy ...
Enable Claude Code and agentic-flow to work with ANY model (even those without native function calling support) by implementing automatic tool emulation. This will achieve 99%+ cost savings while ...
Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...
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