Objective: This study aimed to assess the impact of a model shift on ML-based prediction models by evaluating 3 different use cases—delirium, sepsis, and acute kidney injury (AKI)—from 2 hospitals (M ...
Abstract: Software testing ensures systems meet requirements and identifies defects while minimizing manual effort, reducing costs, and enhancing automation. Model-Based Testing (MBT) leverages ...
Abstract: This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework’s performance was assessed on three key metrics: effectiveness and ...
The second-best-selling Tesla of them all failed to secure the Top Safety Pick+ award for 2025, primarily due to its performance in the moderate overlap front crash test. In this crash scenario, the ...