Titlebook: Rough Sets; International Joint Sheela Ramanna,Chris Cornelis,Davide Ciucci Conference proceedings 2021 Springer Nature Switzerland AG 202

可怖

书目名称Rough Sets影响因子(影响力)




书目名称Rough Sets影响因子(影响力)学科排名




书目名称Rough Sets网络公开度




书目名称Rough Sets网络公开度学科排名




书目名称Rough Sets被引频次




书目名称Rough Sets被引频次学科排名




书目名称Rough Sets年度引用




书目名称Rough Sets年度引用学科排名




书目名称Rough Sets读者反馈




书目名称Rough Sets读者反馈学科排名

Stable-Angina

General Rough Modeling of Cluster Analysislusterings is invented, and this opens the subject to clearer conceptions and contamination-free theoretical proofs. Numeric ideas of validation are also proposed to be replaced by those based on general rough approximation. The essential approach is explained in brief and supported by an example.

水土

Possible Coverings in Incomplete Information Tables with Similarity of Valuesaximum possible ones which are derived from the minimum and the maximum possible indiscernibility relations that are equal to the intersection and the union of those from possible tables. The approximations are equal to those derived using the minimum and the maximum possibly indiscernible classes.

Cpr951

Fresco

obeisance

熔岩

PANT

Emmenagogue

prostatitis

DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Networkdge of complex unknown noise. In this paper, for seismic denoising, we propose a new method with three techniques to handle them effectively. First, a Generative Adversarial Network (GAN) is employed to generate a large number of paired clean-noisy data using real noise. Second, a deep denoising aut