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: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010; Roger Lee,Jixin Ma,Miltos Petridis Book

[复制链接]
楼主: EXTRA
发表于 2025-3-27 00:52:33 | 显示全部楼层
发表于 2025-3-27 01:42:11 | 显示全部楼层
Mohammad Abid Khan,Alamgir Khan,Mushtaq Alifferential and difference equations. In particular, dynamical systems that are susceptible to analysis by the Liapunov approach are considered. The naive observation that certain "diagonal-type" Liapunov functions are ubiquitous in the literature attracted the attention of the authors and led to som
发表于 2025-3-27 05:16:35 | 显示全部楼层
发表于 2025-3-27 10:06:57 | 显示全部楼层
Alper Ozcan,Sule Gunduz Oguducuete element method.Presents numerical simulation of millionsThis book introduces the basic structure, modeling methods, numerical calculation processes, post-processing, and system functions of MatDEM, which applies the basic principles and algorithm of the discrete element method. The discrete elem
发表于 2025-3-27 13:49:38 | 显示全部楼层
Jihen Majdoubi,Mohamed Tmar,Faiez Gargouriete element method.Presents numerical simulation of millionsThis book introduces the basic structure, modeling methods, numerical calculation processes, post-processing, and system functions of MatDEM, which applies the basic principles and algorithm of the discrete element method. The discrete elem
发表于 2025-3-27 18:28:03 | 显示全部楼层
发表于 2025-3-27 22:02:11 | 显示全部楼层
Shape Decomposition for Graph Representation, the average graph energy. Our methods can solve two problems for morphological decomposition - scale invariant and noise. The refined decomposed shape can then be used to construct a graph structure. We experiment our method on shape analysis.
发表于 2025-3-28 04:33:23 | 显示全部楼层
From Textual Use-Cases to Component-Based Applications,nglish. The tool is based on the model-driven development paradigm, which makes it modular and extensible, so as to allow for use-cases in multiple language styles and generation for different component frameworks.
发表于 2025-3-28 07:38:16 | 显示全部楼层
Design and Performance Evaluation of a Machine Learning-Based Method for Intrusion Detection,aches while overcome their drawbacks. We called the new method . (CSVAC). Our experimental results on a benchmark data set show that the new approach was better than or at least comparable with pure SVM and pure ACO on the performance measures.
发表于 2025-3-28 11:18:42 | 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, 2025-5-21 17:53
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