Titlebook: Data Science; 5th International Co Rui Mao,Hongzhi Wang,Zeguang Lu Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 arti

commensurate

Competitiveness durch starke Brands index Dice coefficient can reach 0.948. Finally, a pneumonia recognition model based on convolutional neural network was established. The segmented images were trained and tested. The experimental results show that the average accuracy of the proposed method for pneumonia is up to 96.3%.

功多汁水

Lea Kubí?ková,Marcela Tuzová,Martina Toulováatory relationships, . regularizer was added to the fitness function. SOS repair network was used to test the proposed method. The experimental results show that this method can infer gene regulatory network more accurately than state of the art methods.

slipped-disk

Empirical Study of Hybrid Optimization Strategy for Evolutionary Testing diversity of population was monitored during the evolution process of ET, and once the population prematurity was detected, extended cataclysm operation was used to renew the diversity of the population. Experimental results show that the hybrid optimization strategy can improve the performance of ET.

苦澀

Multi-focus Image Fusion Combined with CNN and Algebraic Multi-grid Methodhich was computed with the algebraic multi-grid method (AMG). The experimental results show that the fused image quality obtained by the CNN-AMG algorithm outperforms the traditional fusion methods such as DSIFT fusion method, CNN fusion method, ASR fusion method, GFF fusion method and so on with some evaluation indexes.

assent

BILIO

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ovation

Competitiveness in Emerging Marketsia exploratory search. Comparing the proposed method to current methods by testing with image data sets on ImageNet, the experimental results show that the former is superior to the latter on visual representation, and the proposed scheme can provide a better user experience.

四指套

https://doi.org/10.1007/978-3-319-39654-5 method runs about 6 times faster than TNLRD via a single-thread CPU implementation. And the GPU implementation of the proposed method is about 10 times faster than the CPU implementation. Furthermore, the proposed model achieves competing denoising performance compared with TNLRD in terms of PSNR and SSIM.

LEERY