Experiments performed for distinct types and locations of faults in a real transmission line model have shown that the proposed combined methods are able to provide excellent performance in fault location. The
Figures in parentheses are the estimated standard errors of the coefficients above them. b The standard error is a correction suggested by Farebrother (1979). c Here the tables of Y and X1 classified by X1 and Y and X2 classified by X2 have 7 and 8 classes as in the previous entry in...
Cloud computing provides outsourcing of computing services at a lower cost, making it a popular choice for many businesses. In recent years, cloud data storage has gained significant success, thanks to its advantages in maintenance, performance, support, cost, and reliability compared to traditional ...
The underwater environment is filled with various sounds, with its soundscape composed of biological, geographical, and anthropological sounds. Our work focused on developing a novel method to observe and classify these sounds, enriching our understandin
With the explosive growth of Internet information, the classification of massive Internet data plays a very important role in real life. Text classificatio
researchers integrated the classification results from scholars and major databases. They extracted and reclassified ChatGPT misclassifications by establishing rules and eliminating supplementary methods. As a result, they identified 7 categories of errors: “Factual errors”; “Logic errors”; “Reasoning...
in databases. Fraudulent credit card transactions are detected, and anomalous data identification is performed, resulting in pattern discovery issues. The representation of fundamental data entry errors is done here. For presenting the final results, the network supervisor domain experts are presented in...
It is shown, where the proposed mapping algorithm outperforms the default mappings of the H.264 codec, that this prioritised transmission will improve the subjective and objective video quality in situations with a high probability of transmission errors. 展开 ...
Thus, an automated computational system needs to undertake large quantities of visual exploration using past data to imitate medical experts' expertise better and maybe outperform them too, i.e., a data-driven strategy. With the current resurgence of interest in machine learning, deep learning, ...
In severely imbalanced datasets, using traditional binary or multi-class classification typically leads to bias towards the class(es) with the much larger number of instances. Under such conditions, modeling and detecting instances of the minority class