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: Automated Software Engineering: A Deep Learning-Based Approach; Suresh Chandra Satapathy,Ajay Kumar Jena,Saurabh B Book 2020 The Editor(s)

[复制链接]
楼主: children
发表于 2025-3-25 06:03:24 | 显示全部楼层
发表于 2025-3-25 09:41:36 | 显示全部楼层
发表于 2025-3-25 14:26:32 | 显示全部楼层
Feature-Based Semi-supervised Learning to Detect Malware from Android,e analyze that the growth of Android malware is also increasing day by day and it paid a serious security threat to user’s privacy. Previously developed frameworks and virus protection softwares are capable to detect “known” malware specifically. In the previous studies researchers, has applied dist
发表于 2025-3-25 17:14:13 | 显示全部楼层
发表于 2025-3-25 20:40:14 | 显示全部楼层
https://doi.org/10.1007/978-3-030-38006-9Deep Learning; Cost Estimation; Requirement Engineering; Automated Testing; Artificial Neural Network; So
发表于 2025-3-26 01:05:11 | 显示全部楼层
978-3-030-38008-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-26 08:12:28 | 显示全部楼层
发表于 2025-3-26 11:31:37 | 显示全部楼层
发表于 2025-3-26 14:37:22 | 显示全部楼层
Norbert Streitz,Petra Rexroth,Torsten Holmerediction causes programming analyzers to streamline and focus their testing resources on the modules which have a higher likelihood of modification. Accurate estimation of characteristics such as effort, quality, and risk which are the major concerns for change proneness, is of significant worry in
发表于 2025-3-26 20:38:15 | 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, 2025-5-20 03:21
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