Abstract: Most existing log parsing algorithms are unable to fully accurately parse logs. This is because these algorithms typically assume that the original log text satisfies features and find the ...

Abstract: Binary information trees are key visualization and evaluation tools, particularly during the passing of algorithms and synthesizing designs. This paper is an interactive tool for producing ...

Abstract: This article presents an ayurvedic medicine recommendation system that has used the decision tree algorithm to make customized treatment recommendations based on user inputs gathered from ...

Abstract: Autoencoder models of source code are an emerging alternative to autoregressive large language models with important benefits for genetic improvement of software. We hypothesize that encoder ...

LAS VEGAS (KLAS) — Free trees will be given away this fall, with priority for residents in 12 select ZIP codes in the Las Vegas valley. It’s part of a continuing effort to help grow the “urban forest, ...

Abstract: In this paper, firstly, we study decoding of a general class of twisted generalized Reed-Solomon (TGRS) codes and provide a precise characterization of the key equation for TGRS codes and ...

Abstract: The quick expansion of software development necessitates effective tools for automating monotonous coding jobs, yet existing solutions frequently fall short in producing accurate codes from ...

Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...

Abstract: In this study, we aimed to evaluate the accuracy of loan sanction predictions using two different algorithms. We analyzed how well each algorithm performs by applying them to a sample size ...

Abstract: In printed circuit board assembly (PCBA), effectively and reliably addressing the placement routing problem (PRP) for dual-gantry placement machines continues to be a considerable issue. In ...