Titlebook: Les termes pétroliers; Dictionnaire anglais Michel Arnould,Fabio Zubini Book 1981 Bordas, Paris 1981 English.production

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Overview: 978-0-86010-374-5978-94-011-8080-1

机构

愉快吗

Michel Arnould,Fabio Zubiniency. Compared with one-dimensional transforms, such as the Fourier and wavelet transforms, Contourlet Transform can capture the intrinsic geometrical structure. In order to ameliorate the influence of unwanted artefacts such as illumination and translation variations, in this paper, the contourlet

哭得清醒了

Michel Arnould,Fabio Zubiniteraction (PPI) attributes. A predictive model built with only 15 PPI attributes achieved performance levels of ACC= 96.56% and AUC=0.95. Systems biology analyses showed that the features of these attributes were related to cancer, genetic, developmental, and neurological disorders, as well as DNA r

思考才皱眉

Michel Arnould,Fabio Zubini use both the artificially constructed social network graphs (with the features of power-law degree distribution and small-world characteristics) and the real-data traces of social networks to verify the performance of our proposal. Simulations illustrate that PRDiscount can advantage over the exist

不能平静

方舟

Michel Arnould,Fabio Zubinifor mammogram enrichment in both views and multilevel threshold with canny edge detection for pectoral muscle segmentation and breast parenchyma extraction. The proposed work was examined on mammographic images containing both views from CBIS-DDSM and MIAS databases. Jaccard similarity index, Dice s

被诅咒的人

一小块

Michel Arnould,Fabio Zubinie multi-scale information while using low-level features. After verifying on a dataset that consists of 376 cubes from 21 patients, we obtain the mean dice of 84.73%. The experimental evaluation shows that our approach is able to achieve effective segmentation of CNV from SD-OCT images.

离开就切除

Michel Arnould,Fabio Zubinied typical subjects. Our results supported that the typical subjects showed greater group differences between SZ and BP, higher classification accuracy, more compact clusters in both clustering and projection. In short, our work presents a novel method to explore discriminative and typical subjects