Federated Learning (FL) ensures the privacy of clients' data by allowing them to train their data by themselves and sharing only updated gradients to the server instead of the raw data. Various incentive mechanism...
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A feature extraction method of network situation based on knowledge graph is proposed for network situation assessment. The knowledge graph of network flow is constructed by knowledge graph technology. Combined with g...
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Virtual chemistry experiments play a vital role in today's middle school chemistry experiments, which can enhance students' enthusiasm for learning. However, in the existing virtual experimental system, there ...
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The proceedings contain 333 papers. The topics discussed include: a Q-learning based service importance routing approach for power communication networks;image classification of wild mushroom using SWIN transformer by...
ISBN:
(纸本)9781665490788
The proceedings contain 333 papers. The topics discussed include: a Q-learning based service importance routing approach for power communication networks;image classification of wild mushroom using SWIN transformer by object positioning;research on identification method for electricity user of agricultural irrigation and drainage based on feature fusion and voting strategy;security protection mechanism of core data of industrial internet identification analysis in power industry;a fault knowledge graph creation method and application based on fault tree analysis and failure mode, effects and criticality analysis;three-dimensional reconstruction of traditional Chinese medicine decoction pieces using a 2D computervision system;inexact alternating direction method for variational inequality problems with second-order cone double constraints;cross energy variety adjustable resources in typical scenarios participate in grid interaction;finite element analysis of ultrasonic propagation characteristics of two-point partial discharge in oil-immersed transformer;calculation method of output simultaneous coefficient of regional photovoltaic power station considering photovoltaic capacity ratio;and research on new energy direct participation in cross-provincial power trading mechanism.
As a crucial component in the realm of computervision, multi-object tracking has garnered widespread application in areas such as autonomous driving, smart transportation, and surveillance *** on YOLOv7 and BoT-SORT ...
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This study addresses the challenge of limited access to Her2 testing for breast cancer patients due to high costs. In resource-constrained regions, pathologists heavily rely on cost-effective Hematoxylin and Eosin (H&...
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All input data are collected manually, which will not only bring a heavy workload to the operator, but also consume a lot of time. In order to quickly and accurately complete the robot calibration task, it is necessar...
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In recent years, pedestrian stampede accidents in cross-passages of large public places occurred frequently, as an inevitable issue in the area of public security. Abnormal behaviors is one of factors leading to pedes...
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High altitude operations have the characteristics of wide work scope, high risk factor, high difficulty of operation, and long duration. Due to the narrow working area at heights, it is easy for workers or tools to ac...
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This article presents approach to integrate algorithms of computervision to control system of traction electric drives in rail transport. Shows how to use computervision algorithms to calculate line velocity instead...
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