PRO ACTIVE AGEING EDUCATION - GERON ... WHAT?! INTERVENTION STUDY WITH PORTUGUESE STUDENTS


Improving the Robustness of Variable Selection and Predictive Performance of Regularized Generalized Linear Models and Cox Proportional Hazard Models

High-dimensional data applications often MIXED MUSHROOMS entail the use of various statistical and machine-learning algorithms to identify an optimal signature based on biomarkers and other patient characteristics that predicts the desired clinical outcome in biomedical research.Both the composition and predictive performance of such biomarker sign

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SOLO-SLAM: A Parallel Semantic SLAM Algorithm for Dynamic Scenes

Simultaneous localization and mapping (SLAM) is a core technology for mobile robots working in unknown environments.Most existing SLAM techniques can achieve good localization accuracy in static scenes, as they are designed based on the assumption that unknown scenes are rigid.However, real-world environments are dynamic, resulting in poor performa

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