dejected
发表于 2025-3-21 16:30:32
书目名称Advances in Computing and Network Communications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0147325<br><br> <br><br>书目名称Advances in Computing and Network Communications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0147325<br><br> <br><br>
去掉
发表于 2025-3-21 22:36:41
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绝缘
发表于 2025-3-22 02:38:04
Agnieszka Marek,Grzegorz Zasuwa validate the prediction models, smart meter data from our campus is used. The results show that the long short-term memory (LSTM) model is more suitable for energy demand prediction. The LSTM model is then used to predict the energy demand in students’ hostels during conditions such as climate and holidays.
昏迷状态
发表于 2025-3-22 05:22:53
Conference proceedings 2021 (CoCoNet‘20), October 14–17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge C
Brain-Imaging
发表于 2025-3-22 11:46:55
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pacifist
发表于 2025-3-22 15:43:30
https://doi.org/10.1007/978-3-662-63004-4alization in the exploratory methodology toward Karawitan musicians (N = 20), the outcomes demonstrated higher brain activities in tuning into recognizable music, ., Javanese traditional music. In addition, the dominant brain activities happened in the temporal lobe while Karawitan musicians listened to ., Javanese traditional music.
遭受
发表于 2025-3-22 17:11:55
Zukunftsfähige Industrie in Hessen gestalten classifier and it also performs optimally even in the presence of varying noises. All colored noise samples gave superior classification accuracy with KNN classifier and all electronic and natural noises gave best accuracy with Extreme Gradient Boost classifier.
Mammal
发表于 2025-3-22 23:48:49
Maxi Schneider,Christopher Feldhese is compared with existing models of comparable complexity. The proposed methods have an average LSF performance index of 0.4082 and 0.4008, respectively, which is higher than existing similar work reported.
anthesis
发表于 2025-3-23 01:44:38
Early Detection of COVID-19 from CT Scans Using Deep Learning Techniques
不适
发表于 2025-3-23 06:02:57
Towards Protein Tertiary Structure Prediction Using LSTM/BLSTM978-1-349-19655-5