In experiments in which physicians made decisions about treating hypothetical patients, the physicians tended to trust ...
Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...
INTRODUCTION - On May 14, 2026, Acting Deputy Assistant Attorney General for Criminal Enforcement Daniel Glad delivered remarks ...
Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...
ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
Abstract: Fault classification in power transmission lines is important in distance relaying for identifying the accurate phases implicated in the fault occurrence. Generally, the accuracy of fault ...
Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...