Addiction
发表于 2025-3-21 16:15:14
书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0265695<br><br> <br><br>书目名称Dependability in Sensor, Cloud, and Big Data Systems and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0265695<br><br> <br><br>
打包
发表于 2025-3-21 20:43:19
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Morbid
发表于 2025-3-22 03:01:53
Magnetic Resonance Microscopy AT9.4 Tesla,pository. We use the trained models to predict whether a mail is spam or not, and find better prediction scheme by comparing quantitative results. The experimental results show that the method of decision forest regression can get better performance and is suitable for numerical prediction.
斗争
发表于 2025-3-22 08:32:14
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PALL
发表于 2025-3-22 08:59:28
Language and the emergence of environment the surprising shapes in restorative images preparing. To improve the exhibition of our proposed procedure we utilize the artificial bee colony to optimize and classify the feature selected or extracted by the WPD. Results shows that our method perform better to segment the curvy shapes and haemorrhagic areas in MRI images.
LIKEN
发表于 2025-3-22 14:47:45
Dwelling, Place and Environment from video sequences; (2) feature creation, where body features are constructed using body keypoints; and (3) classifier selection when such data are used to train four different classifiers in order to determine the one that best performs. The results are analyzed on the dataset Gotcha, characterized by user and camera either in motion.
LIKEN
发表于 2025-3-22 19:10:05
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Fracture
发表于 2025-3-22 23:47:35
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Cpr951
发表于 2025-3-23 01:23:17
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QUAIL
发表于 2025-3-23 09:05:01
A Comparative Study of Two Different Spam Detection Methodspository. We use the trained models to predict whether a mail is spam or not, and find better prediction scheme by comparing quantitative results. The experimental results show that the method of decision forest regression can get better performance and is suitable for numerical prediction.