A Cluster-Based Security Architecture for Ad Hoc Networks
標(biāo)簽： Cluster-Based Architecture Security Networks
上傳時(shí)間： 2015-02-01
上傳用戶：yxgi5
free software based on toyFDTD
標(biāo)簽： software toyFDTD based free
上傳時(shí)間： 2015-02-16
上傳用戶：talenthn
Developer s Guide to Building XML-based Web Services
標(biāo)簽： Developer XML-based Building Services
上傳時(shí)間： 2015-02-20
上傳用戶：qiao8960
eGroupWare is a multi-user, web-based groupware suite developed on a custom set of PHP-based APIs. Currently available modules include: email, addressbook, calendar, infolog (notes, to-do s, phone calls), content management, forum, bookmarks, wiki
標(biāo)簽： eGroupWare multi-user developed PHP-based
上傳時(shí)間： 2015-02-20
上傳用戶：hphh
Antinat is a flexible SOCKS server and client library for writing proxy-based applications. It supports SOCKS 4, SOCKS 5, authentication, CHAP, XML firewalling, Win32, server chaining, and UDP. It also contains very experimental IPv6 support
標(biāo)簽： applications proxy-based flexible Antinat
上傳時(shí)間： 2015-02-28
上傳用戶：shawvi
An easy, yet highly-configurable iptables-based firewall solution designed for everybody from home users to network admins. Functionality for IPv6, tunneling, IPSec, and advanced routing is planned.
標(biāo)簽： highly-configurable iptables-based everybody designed
上傳時(shí)間： 2014-10-11
上傳用戶：huyiming139
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining, developed as part of my dissertation. A brief presentation of the library can be found therein.
標(biāo)簽： discernibility-based collection routines ROSETTA
上傳時(shí)間： 2015-03-12
上傳用戶：開懷常笑
太原理工大學(xué)碩 士 學(xué) 位 論 文 基于Web 的在線考試系統(tǒng) Online Testing System Based on Web
標(biāo)簽： Web Testing Online System
上傳時(shí)間： 2014-01-13
上傳用戶：manking0408
ARM-Based Product U-Boot.pdf（英文文章，講解了Uboot的功能、原理，并且詳細(xì)介紹了uboot的詳細(xì)使用方法，在超級(jí)終端下面開發(fā)程序和引導(dǎo)操作系統(tǒng)的詳細(xì)步驟）
標(biāo)簽： ARM-Based Product U-Boot
上傳時(shí)間： 2015-03-18
上傳用戶：lgnf
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem
標(biāo)簽： polynomial regression weighted instance
上傳時(shí)間： 2013-11-28
上傳用戶：sunjet
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