A total of 148 variables were selected for predicting the 3 trajectories. Four machine learning algorithms with 3 different setups were used. We estimated the uncertainty of the model outputs using ...
Abstract: Software fault prediction (SFP) is a critical focus in software engineering, aiming to enhance productivity and minimize costs by detecting faults early. Feature selection (FS) is pivotal in ...
Abstract: Currently, there are various problems in the field of network attack-defense analysis and deception asset deployment of game theory-based, such as difficulties in constructing attack and ...
Data clustering is one of the main mathematical applications variety of algorithms have been developed to tackle the problem. K-means is one of the basic algorithms for data clustering. __Data ...
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