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

可怖

書目名稱Rough Sets影響因子(影響力)




書目名稱Rough Sets影響因子(影響力)學(xué)科排名




書目名稱Rough Sets網(wǎng)絡(luò)公開度




書目名稱Rough Sets網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Rough Sets被引頻次




書目名稱Rough Sets被引頻次學(xué)科排名




書目名稱Rough Sets年度引用




書目名稱Rough Sets年度引用學(xué)科排名




書目名稱Rough Sets讀者反饋




書目名稱Rough Sets讀者反饋學(xué)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

熔巖

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