informed
发表于 2025-3-21 16:22:57
书目名称Computing Science, Communication and Security影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234753<br><br> <br><br>书目名称Computing Science, Communication and Security读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234753<br><br> <br><br>
inculpate
发表于 2025-3-21 21:09:42
https://doi.org/10.1007/b137482d to kernels. The feature vectors are employed in the Deep RNN for classifying the images by training the classifier, which is considered as training phase. In testing phase, a set of query images is given to the classifier which adapts Tanimoto similarity for retrieving the images. The proposed MKS
Conflict
发表于 2025-3-22 02:47:19
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NIP
发表于 2025-3-22 08:19:26
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hypnogram
发表于 2025-3-22 11:10:27
https://doi.org/10.1007/3-540-30986-1and treatment of ailment. Computer-aided diagnostic tools may promote the detection of cancer early for dermatologists. In this method pre-processing shall take place by applying a list of filters for removing hair, spots and assorted noises from pictures and the methodology of photographs painting
FLAG
发表于 2025-3-22 14:50:46
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FLAG
发表于 2025-3-22 21:06:54
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文字
发表于 2025-3-23 01:01:00
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Processes
发表于 2025-3-23 02:52:13
Predicting Passenger Flow in BTS and MTS Using Hybrid Stacked Auto-encoder and Softmax Regressionclustering, the stacked auto-encoder (SAE) with softmax regression (SR) classifier is introduced for prediction purpose. Finally, the Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) of the Cluster-SAE-DNN (Proposed) method is compared with SAE-DNN based prediction approach.
强行引入
发表于 2025-3-23 09:06:33
Deep Recurrent Neural Network with Tanimoto Similarity and MKSIFT Features for Medical Image Search d to kernels. The feature vectors are employed in the Deep RNN for classifying the images by training the classifier, which is considered as training phase. In testing phase, a set of query images is given to the classifier which adapts Tanimoto similarity for retrieving the images. The proposed MKS