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

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敘述

否決

擴(kuò)音器

Arroyo

Survival Prediction of Glioma Tumors Using Feature Selection and Linear Regressiondiction. The effectiveness of convolutional neural network (CNN) has been validated in medical image segmentation. In this study, we apply a widely-employed CNN namely UNet to automatically segment out glioma sub-regions, and then extract their volumes and surface areas. A sophisticated machine lear

CRAMP

Root Cause Localization from Performance Monitoring Metrics Data with Multidimensional Attributesoring metrics in large-scale Internet services. When the performance monitoring metrics data deliver abnormal patterns, it is of critical importance to timely locate and diagnose the root cause. However, this task remains as a challenge due to tens of thousands of attribute combinations in search sp

Infinitesimal

Infant

debris

Traffic Crowd Congested Scene Recognition Based on Dilated Convolution Network important for city traffic management to recognize traffic crowd congested scene. However, the traffic crowd scene is dynamically and the visual scales are varied. Due to the multi-scale problem, it is hard to distinguish the congested traffic crowd scene. To solve the multiple scales problem in tr

干涉

Failure Prediction for Large-Scale Clusters Logs via Mining Frequent Patternsailure prediction is a proactive measure through mining failure patterns and predicting when the systems will fail. In general, it is helpful to improve the accuracy of failure prediction by mining true failure patterns. And currently, the statistical and data mining driven methods are often used fo