Inoculare
发表于 2025-3-21 17:54:13
书目名称Machine Learning, Optimization, and Data Science影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620739<br><br> <br><br>书目名称Machine Learning, Optimization, and Data Science读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620739<br><br> <br><br>
灿烂
发表于 2025-3-21 21:14:59
,Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping,y training a specialised domain decoder, we can achieve performance comparable to state of the art on this task. Key results indicate that the use of knowledge distillation can significantly reduce the effort required by domain experts for manual annotation and improve the efficiency of image segmen
interpose
发表于 2025-3-22 04:20:52
,Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data,rm better than it would if trained on the original data alone. We carry out experiments on four well-known regression datasets comparing results between an initial model and a model trained on the initial model’s outputs; we find some results which are positive for each hypothesis and some which are
远足
发表于 2025-3-22 04:55:58
http://reply.papertrans.cn/63/6208/620739/620739_4.png
Agility
发表于 2025-3-22 09:42:18
http://reply.papertrans.cn/63/6208/620739/620739_5.png
GROWL
发表于 2025-3-22 15:30:53
http://reply.papertrans.cn/63/6208/620739/620739_6.png
免费
发表于 2025-3-22 18:02:52
http://reply.papertrans.cn/63/6208/620739/620739_7.png
famine
发表于 2025-3-22 23:34:30
,Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region, the years 2015-2100 for different Shared Socioeconomic Pathways (SSP) scenarios. Both these datasets include the daily precipitation, minimum temperature and maximum temperature values. The proposed model is trained and validated using IMD dataset and the final evaluation of its ability to predict
nepotism
发表于 2025-3-23 05:26:48
http://reply.papertrans.cn/63/6208/620739/620739_9.png
Virtues
发表于 2025-3-23 06:22:25
http://reply.papertrans.cn/63/6208/620739/620739_10.png