找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Web Information Systems and Applications; 15th International C Xiaofeng Meng,Ruixuan Li,Gansen Zhao Conference proceedings 2018 Springer Na

[复制链接]
楼主: 弄碎
发表于 2025-3-23 10:16:36 | 显示全部楼层
Fast Homomorphic Encryption Based on CPU-4GPUs Hybrid System in Cloudating encryption operation with DGHV algorithm to reduce the time duration and provide a comparative performance study. We also make further efforts to design a pipeline architecture of processing stream in CPU-4GPUs hybrid system to accelerate encryption for DGHV algorithm. The experiment results s
发表于 2025-3-23 17:18:36 | 显示全部楼层
发表于 2025-3-23 19:49:54 | 显示全部楼层
A Distributed Rule Engine for Streaming Big Datales and optimize the matching process, we use the ternary grid model [.] for representing rules and design a scheduling model to improve the memory sharing in the matching process. The evaluation shows that KSSRE has a better performance, scalability and fault tolerance based on DBLP data sets.
发表于 2025-3-23 22:48:55 | 显示全部楼层
发表于 2025-3-24 05:53:07 | 显示全部楼层
发表于 2025-3-24 10:18:32 | 显示全部楼层
Optimization of Depth from Defocus Based on Iterative Shrinkage Thresholding Algorithmlgorithms, the efficiency of FL-ISTA algorithm was great improved and the depth from defocus decreased by 10 percentage points, which close to the scale of 500 nm grid. The experimental results indicate that FL-ISTA algorithm can effectively improve the convergence rate of solving dynamic optimizati
发表于 2025-3-24 11:50:20 | 显示全部楼层
发表于 2025-3-24 17:54:22 | 显示全部楼层
Jointly Trained Convolutional Neural Networks for Online News Emotion Analysisonline news share the similar word distributions and similar emotion categories, we train the neural networks on two data sets simultaneously so that the model can learn the knowledge from both dataset and benefit the classification on both data sets. In this paper, we elaborate our jointly trained
发表于 2025-3-24 20:21:56 | 显示全部楼层
发表于 2025-3-25 01:54:34 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-14 02:47
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表