Titlebook: Intelligent Computing and Block Chain; First BenchCouncil I Wanling Gao,Kai Hwang,Zhifei Zhang Conference proceedings 2021 Springer Nature

Stress

洁净

Task-Free Recovery and Spatial Characterization of a Globally Synchronized Network from Resting-Statal space. Our streamed-lined process offers a novel enabling technology to support rapid and low-cost assessment of much larger and diverse populations of individuals, addressing several methodological limitations in current investigation of brain function.

Flounder

PRU-net: An U-net Model with Pyramid Pooling and Residual Block for WMH Segmentationth the two blocks were employed to enhance the feature extraction of U-net. The experiments were based on the MICCAI 2017’s WMH Challenge datasets, and the results showed that the Dice similarity coefficient (DSC) of our method was 0.83 and the F1 score was 0.84, which were higher than those of comp

引起痛苦

A New Pathway to Explore Reliable Biomarkers by Detecting Typical Patients with Mental Disordersed 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

分解

dithiolethione

Traffic Crowd Congested Scene Recognition Based on Dilated Convolution Networkpared with three states of the art methods. The experimental results demonstrate that the performance of the proposed method is more effective in congested traffic crowd scene recognition. Compared with the three state of the art methods, the average accuracy value, and the average AUC values of the

厌烦

boisterous

FLBench: A Benchmark Suite for Federated Learningcomes a promising platform for developing novel federated learning algorithms. Currently, FLBench is open-sourced and in fast-evolution. We package it as an automated deployment tool. The benchmark suite is available from ..

CEDE

A Reconfigurable Electrical Circuit Auto-Processing Method for Direct Electromagnetic Inversionomatically tuning the property for each network element, and finally approaching a convergent solution to user request after some cycles of self-adjustment. Principles and advantages are introduced with several instances, showing high accuracy and stable convergence ability, as well as helping judge

Peculate