13 hours ago · This research aims to evaluate the performance of AI-generated code by examining its syntactic correctness, functional accuracy, and robustness in various ...
13 hours ago · Researchers employ various methodologies to quantify decision uncertainty in empirical studies, leveraging both theoretical frameworks and practical tools.
5 hours ago · This study primarily employs the research methods of model construction and computer simulation. Based on the Nelson–Winter model, this study establishes a ...
13 hours ago · This research explores the architecture, design considerations, and best practices for integrating Kafka and Cassandra in fault-tolerant data ingestion and ...
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9 hours ago · Background Uncertainty poses a pervasive challenge in decision analysis and risk management. When the problem is poorly understood, probabilistic estimation ...
18 hours ago · ... resilience, Predictors of Resilience to a Stressor in a Single-Arm Study ... the Empirical Characteristic Function for Multivariate Samples. 2023-12-08 ...
10 hours ago · This paper studies the controllability of networks from the perspective of malicious attacks. A novel attack model is proposed to evaluate and challenge network ...
18 hours ago · The objectives of studies are: investigating, analysis, solving the multifaceted security problems and privacy issues, which are originated from different ...
12 hours ago · Abstract. This study explores the application of genetic algorithms in generating highly nonlinear substitution boxes (S-boxes) for symmetric key ...
9 hours ago · This study contributes by sharing methodological insights on applying co-design methods to build a national virtual library with different library stakeholders.