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: Computational Science – ICCS 2019; 19th International C João M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri

[复制链接]
楼主: 老鼠系领带
发表于 2025-3-28 15:24:04 | 显示全部楼层
发表于 2025-3-28 20:39:24 | 显示全部楼层
Parallel Strongly Connected Components Detection with Multi-partition on GPUsin digraphs is a basic problem in graph computing. As graph size increases, many parallel algorithms based on GPUs have been proposed to detect SCC. The state-of-the-art parallel algorithms of SCC detection can accelerate on various graphs, but there is still space for improvement in: (1) Multiple t
发表于 2025-3-28 23:45:27 | 显示全部楼层
发表于 2025-3-29 05:57:04 | 显示全部楼层
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Dataarget specific data sets with “known” number of clusters. The paper provides a streaming clustering and anomaly detection algorithm that does not require strict arbitrary thresholds on the anomaly scores or knowledge of the number of clusters while performing probabilistic anomaly detection and clus
发表于 2025-3-29 09:29:41 | 显示全部楼层
An Implementation of a Coupled Dual-Porosity-Stokes Model with FEniCSe fluid flow in a dual-porosity media and conduits coupled system. In this paper, we propose an implementation of this multi-physics model. We solve the system with the automated high performance differential equation solving environment FEniCS. Tests of the convergence rate of our implementation in
发表于 2025-3-29 15:15:48 | 显示全部楼层
发表于 2025-3-29 16:15:51 | 显示全部楼层
发表于 2025-3-29 20:53:36 | 显示全部楼层
An Innovative and Reliable Water Leak Detection Service Supported by Data-Intensive Remote Sensing Pection surveillance service, based on manned and unmanned aerial vehicles. This service aims to provide water utilities with adequate information on leaks in large water distribution infrastructures outside urban areas. Given the high cost associated with water infrastructure networks repairs, a rel
发表于 2025-3-30 03:16:10 | 显示全部楼层
发表于 2025-3-30 05:05:02 | 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, 2025-6-26 16:15
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