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View article: One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging
One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging Open
Model merging has emerged as a compelling data-free paradigm for multi-task learning, enabling the fusion of multiple fine-tuned models into a single, powerful entity. A key technique in merging methods is sparsification, which prunes redu…
View article: Reliability prediction analysis of catenary after icing based on Kriging model
Reliability prediction analysis of catenary after icing based on Kriging model Open
In order to ensure the safety of the train, the reliability of the catenary system in icy weather must be analyzed. The Kriging model was used to predict and analyze the reli-ability changes of the catenary system under three different ici…
View article: Research on the Impact of Data Volume on the Accuracy of Anomaly Detection Methods in Network Traffic
Research on the Impact of Data Volume on the Accuracy of Anomaly Detection Methods in Network Traffic Open
This article discusses the use of machine learning algorithms to detect anomalies based on the CICIDS2017 dataset, which was specifically designed to simulate real- world network attack scenarios. Special attention is paid to three popular…
View article: A STUDY ON EFFECT OF STIRRING SPEED DURING FABRICATION OF ALUMINIUM ALLOY METAL MATRIX COMPOSITE
A STUDY ON EFFECT OF STIRRING SPEED DURING FABRICATION OF ALUMINIUM ALLOY METAL MATRIX COMPOSITE Open
Aluminium metal matrix composite can be used in high elevated temperatures and have wide range of applications In this study fabrication of aluminium metal matrix composite are produced by using stir casting technique with aluminium 2618 a…