misperceive
发表于 2025-3-21 18:16:38
书目名称Model Development and Optimization影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0635748<br><br> <br><br>书目名称Model Development and Optimization读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0635748<br><br> <br><br>
Astigmatism
发表于 2025-3-21 20:31:35
http://reply.papertrans.cn/64/6358/635748/635748_2.png
FORGO
发表于 2025-3-22 01:52:29
Applied Optimizationhttp://image.papertrans.cn/m/image/635748.jpg
braggadocio
发表于 2025-3-22 07:25:19
http://reply.papertrans.cn/64/6358/635748/635748_4.png
Prosaic
发表于 2025-3-22 09:40:15
http://reply.papertrans.cn/64/6358/635748/635748_5.png
攀登
发表于 2025-3-22 13:29:23
Model Development and Optimization978-1-4615-4062-5Series ISSN 1384-6485
Defraud
发表于 2025-3-22 18:25:37
http://reply.papertrans.cn/64/6358/635748/635748_7.png
宽敞
发表于 2025-3-22 22:22:50
1384-6485 monograph, along with analysis of contemporary means, new classes of mathematical models (MM) which can be used for modeling in the most difficult cases are pro978-1-4613-6819-9978-1-4615-4062-5Series ISSN 1384-6485
本能
发表于 2025-3-23 05:19:01
Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentationodule removes redundant boundary information. Comprehensive experiments on two popular benchmarks (S3DIS and ScanNetV2) show the effectiveness of our method. Our method achieves the State-of-the-art instance segmentation performance on S3DIS benchmark.
凹处
发表于 2025-3-23 09:30:22
http://reply.papertrans.cn/64/6358/635748/635748_10.png