children
发表于 2025-3-21 19:53:15
书目名称Model Checking Software影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0635740<br><br> <br><br>书目名称Model Checking Software读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0635740<br><br> <br><br>
镇压
发表于 2025-3-21 21:04:48
http://reply.papertrans.cn/64/6358/635740/635740_2.png
退出可食用
发表于 2025-3-22 02:24:11
http://reply.papertrans.cn/64/6358/635740/635740_3.png
包裹
发表于 2025-3-22 07:46:02
0302-9743 ain, in June 2018..The 14 papers presented, 1 short paper, and 1 demo-tool paper, were carefully reviewed and selected from 28 submissions. Topics covered include formal verification techniques for automated analysis of software; formal analysis for modeling languages, such as UML/state charts; form
烧烤
发表于 2025-3-22 09:46:47
http://reply.papertrans.cn/64/6358/635740/635740_5.png
远地点
发表于 2025-3-22 15:18:25
Model Checking Software978-3-319-94111-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
cipher
发表于 2025-3-22 17:04:20
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/635740.jpg
加入
发表于 2025-3-23 00:57:08
https://doi.org/10.1007/978-3-319-94111-0Software engineering; Semantics; Model checking; Software evaluation; Specifications; Programming languag
Rct393
发表于 2025-3-23 02:14:09
3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNNeometry information based on local graph representation. Experiments results on various classification and retrieval tasks show that, 3DTI-Net is able to learn 3D feature efficiently and can achieve state-of-the-art performance in rotated 3D object classification and retrieval.
Freeze
发表于 2025-3-23 08:43:10
Advanced Information and Knowledge Processinghttp://image.papertrans.cn/a/image/151160.jpg