搜索资源列表
HighResolutionTimer
- 支持高精度的计时功能。粒度可以达到微秒。-Support for high-precision timing function. The granularity of microseconds.
liduqushi-
- 根据沉积物粒度参数分析沉积物粒度趋势，以判断沉积物运移趋势。-Sediment grain size trend analysis based on sediment grain size parameters, in order to determine sediment transport trend.
j2-2
- 二维poisson方程并行有限差分方法，增加网格宽度可提高通信粒度，加快程序收敛速度。-Dimensional poisson equation parallel finite difference method to increase the width of the grid size can improve communication and accelerate the speed of convergence program.
maclareh
- maclareh输运，常常用于分通过泥沙偏态、平均粒度、峰态来分析泥沙输运的方向的一维模型-maclaren transport of matalb ,being used to analysis the direction of sands through the size of sand
opendocman-1.2.8.1.tar
- OpenDocMan是一个全功能的DMS文档管理系统，遵循ISO 17025/IEC标准。提供自动化安装脚本、自定义主题、插件、check in/out，分部门访问控制，文件调整，细粒度用户访问控制，强大的搜索功能，提供中文支持。-OpenDocMan is a full-featured document management system DMS, follow the ISO 17025/IEC standards. Provides automated installation scr
5-14
- 细粒度鸟类种类分类，用于区分不同的鸟类种类。数据集为CUB200-20-Fine-grained bird species classification, used to distinguish between different bird species. Data set CUB200-2011
Jacoby-iterative
- 用MPI粗粒度并行实现雅各比迭代的算法，提高计算效率。-Coarse-grained parallel implementation with MPI Jacoby iterative algorithms to improve computational efficiency.
SOPMIPwindowbuilder
- 最近提出的利用互信息算法来计算词语权重，对细粒度情感分析是十分重要的一步。-Recently proposed mutual information algorithm to calculate the weight of the words, fine-grained sentiment analysis is a very important step.
toutiao_crawler
- python的爬虫程序，爬取今日头条的广告平台数据，分别为按小时和按天粒度。- Of u (u0) is u (the maximum) is the name of the user who is the name of the user who is the name of the user who is the name of the user who is the name of the user who is the number of the user- U5C0F u659
xiaomi_crawler
- python的爬虫程序，爬取小米手机的广告平台数据，分别为按小时和按天粒度。- Of u (u0) is a user who is a member of a user who is a member of a that is a member of a that is a member of a that is a member of a that is a value for a that is a value for a that is a value for a tha
oppo_crawler
- python的爬虫程序，爬取oppo的广告平台数据，分别为按小时和按天粒度。- Max u5202 u5222 u5222 u5E09 u5E09 u5F0 U5929 u7C92 u5EA6 u3002
baidu_crawler
- python的爬虫程序，爬取百度移动应用的广告平台数据，分别为按小时和按天粒度。- Of uliu () is a user who is a member of a user who is a member of a user who is a member of a that is a member of a that is a member of a that is a value for a that is a value for a that is a value for
libsvm-3.18
- 采集信道状态信息CSI的功能代码，csi包括幅度相位等更细粒度的信道信息，用于室内定位的最新选择(Acquisition channel status information CSI function code, CSI including amplitude, phase and other more fine-grained channel information, used for indoor positioning of the latest choice)
spring boot+shiro
- Sprinboot+redis+shir实现细粒度的权限(Sprinboot+redis+shiro implementation of fine grained authority management)
ssm_shiro_demo
- Java语言的框架整合及权限的控制（粗粒度、细粒度） SSM（spring+springmvc+mybatis）的整合 SSM+shiro基于资源的权限控制整合demo 配置文件原理的注释 shiro的认证、授权、及从数据库mysql获取的认证信息方法都有提供(Framework integration of Java language and control of permissions (coarse grained, fine-grained) The integration
springboot_authority-master
- shiro实现权限管理，分配权限粒度到按钮(Shiro implementation of authority management)
upload
- 基于PHP+MYSQL设计，支持跨平台(Windows、Linus、Unix)应用。 支持图片、静态文档等发布至远程服务器 拥有独特设计的处理内核，稳定高效，数据容纳能力强。得心应手的自定义文档模型与附属信息模型， 完美支持多重栏目、模型交叉，不同模型间相互联系，多种模型又可混合调用由全站统一管理，主站子站交叉，多样功能。 体系级自定义的多维类目结构，实现 NX的无限自由类目。 允许多重频道共存，类目结构统一设置，对全站所有文档及合辑通用。 支持发布付费、细致到颗粒度权限控制、有限
5
- 搜易站内搜索引擎基于Lucene开发的站内搜索解决方案，其集成专为站内搜索设计的细粒度中文分词，有效兼顾搜准和搜全率，无缝支持多种数据库数据汇入索引，支持全站(The search engine in the station is based on Lucene, which is designed for fine grained Chinese participle designed in the station. It takes full account of the search ac
vivo_crawler
- python的爬虫程序，爬取vivo的广告平台数据，分别为按小时和按天粒度。( Of u (u0) is a value that is a value for a percentage of a that is a value for a that is a value for a that is a value for a that is a value that is a value for a that is a value for a that is a value fo
基于深度学习的二进制代码漏洞检测系统
- 二进制代码漏洞检测是一个重要的研究问题。针对当前基于静态分析的二进制代码漏洞检测系统普遍存在误报率高,检测粒度粗,且依赖专家经验等问题,提出了用库/API函数调用程序切片细粒度表示二进制程序,并引入深度学习技术,自动检测二进制程序中库/API函数调用相关漏洞,设计并实现了一个基于深度学习的二进制代码漏洞检测系统——BVDetector。该系统通过对二进制程序进行控制流和数据流分析,从程序中提取库/API函数调用的程序切片,并为程序切片添加有无漏洞的标签;然后将程序切片转换成符合漏洞检测深度学习模