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MLRS, a multi-layer behavioural risk scoring framework that combines rule-based scoring, statistical deviation analysis, and Isolation Forest-based anomaly detection to generate continuous employee-level risk scores, is presented.
Global-scale software delivery increasingly relies on distributed localization pipelines to manage multilingual content across diverse deployment environments. While Continuous Integration and Delivery (CI/CD) practices have matured, existing approaches struggle to deliver scalable and reproducible orchestration under...
Accurate prediction of drug sensitivity in cancer cell lines is vital for precision oncology and patient-specific therapies. However, many computational approaches fail to integrate multi-modal biological and chemical features and often struggle with high-dimensional, imbalanced pharmacogenomic data, limiting predictiv...
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