An efficient privacy-preserving blockchain storage method for internet of things environment [0.03%]
一种高效的面向物联网环境的隐私保护区块链存储方法
Dayu Jia,Guanghong Yang,Min Huang et al.
Dayu Jia et al.
Blockchain is a key technology to realize decentralized trust management. In recent studies, sharding-based blockchain models are proposed and applied to the resource-constrained Internet of Things (IoT) scenario, and machine learning-based...
Transfer learning based cascaded deep learning network and mask recognition for COVID-19 [0.03%]
基于迁移学习的级联深度学习网络及其在新冠肺炎口罩识别中的应用研究
Fengyin Li,Xiaojiao Wang,Yuhong Sun et al.
Fengyin Li et al.
The COVID-19 is still spreading today, and it has caused great harm to human beings. The system at the entrance of public places such as shopping malls and stations should check whether pedestrians are wearing masks. However, pedestrians of...
A DRL-based online VM scheduler for cost optimization in cloud brokers [0.03%]
基于DRL的在线VM调度器在云经纪中的成本优化功能研究
Xingjia Li,Li Pan,Shijun Liu
Xingjia Li
The virtual machine (VM) scheduling problem in cloud brokers that support cloud bursting is fraught with uncertainty due to the on-demand nature of Infrastructure as a Service (IaaS) VMs. Until a VM request is received, the scheduler does n...
Modeling the social influence of COVID-19 via personalized propagation with deep learning [0.03%]
通过深度学习的个性化传播建模COVID-19的社会影响
Yufei Liu,Jie Cao,Jia Wu et al.
Yufei Liu et al.
Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However, traditional methods of predicting social influence not only require domain expertise, they also rel...
PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks [0.03%]
PerHeFed：异构卷积神经网络的个性化联邦学习通用框架
Le Ma,YuYing Liao,Bin Zhou et al.
Le Ma et al.
In conventional federated learning, each device is restricted to train a network model of the same structure. This greatly hinders the application of federated learning where the data and devices are quite heterogeneous because of their dif...
EAGS: An extracting auxiliary knowledge graph model in multi-turn dialogue generation [0.03%]
EAGS：多轮对话生成中的一种提取辅助知识图模型
Bo Ning,Deji Zhao,Xinyi Liu et al.
Bo Ning et al.
Multi-turn dialogue generation is an essential and challenging subtask of text generation in the question answering system. Existing methods focused on extracting latent topic-level relevance or utilizing relevant external background knowle...
Auxiliary signal-guided knowledge encoder-decoder for medical report generation [0.03%]
基于辅助信号的医学报告生成知识编码解码模型
Mingjie Li,Rui Liu,Fuyu Wang et al.
Mingjie Li et al.
Medical reports have significant clinical value to radiologists and specialists, especially during a pandemic like COVID. However, beyond the common difficulties faced in the natural image captioning, medical report generation specifically ...
Improving medical experts' efficiency of misinformation detection: an exploratory study [0.03%]
提高医学专家检测错误信息效率的探索性研究
Aleksandra Nabożny,Bartłomiej Balcerzak,Mikołaj Morzy et al.
Aleksandra Nabożny et al.
Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the i...
Suojuan Zhang,Song Huang,Xiaohan Yu et al.
Suojuan Zhang et al.
Online education brings more possibilities for personalized learning, in which identifying the cognitive state of learners is conducive to better providing learning services. Cognitive diagnosis is an effective measurement to assess the cog...
Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip [0.03%]
用于髋关节发育不良在线自动诊断的多任务hourglass网络
Jingyuan Xu,Hongtao Xie,Qingfeng Tan et al.
Jingyuan Xu et al.
Developmental dysplasia of the hip (DDH) is one of the most common diseases in children. Due to the experience-requiring medical image analysis work, online automatic diagnosis of DDH has intrigued the researchers. Traditional implementatio...