CHAFF 发表于 2025-3-21 17:00:57
书目名称Computational Signal Processing and Analysis影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0233123<br><br> <br><br>书目名称Computational Signal Processing and Analysis读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0233123<br><br> <br><br>condone 发表于 2025-3-21 20:56:28
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https://doi.org/10.1007/978-981-13-0623-5of the smart plate. The finite element model is reduced to the first three modes using orthonormal modal truncation, and subsequently, the reduced finite element model is converted into a state-space model.Prostaglandins 发表于 2025-3-22 05:05:18
A Comparative Study of Isolated Word Recognizer Using SVM and WaveNet,racy of classification for WaveNets is shown in the results. The number of features is also varied using dimension reduction technique and its effect on the accuracies is studied. The data is prepared using feature scaling and dimensionality reduction before training SVM and NN classifiers.overweight 发表于 2025-3-22 12:27:27
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https://doi.org/10.1007/978-3-642-34375-9aged FFT, location averaged DCT, and location averaged DWT are the three methods proposed for face and ear recognition system. The standard face and ear database images are used for analyzing the accuracy, runtime, and mismatching. The maximum accuracy value of about 99% is achieved in shortest run time with less mismatching.negligence 发表于 2025-3-23 01:35:00
Grzegorz Sierpiński,Ireneusz Celiński Jones proposed a fast and accurate method to detect the object. Haar-like features are used to detect the variation between the black and light portion of the image. Cam-shift algorithm is used to develop the face and head tracking. The object search is done using the back-projection procedure through probability distribution maximum obtained.AVID 发表于 2025-3-23 05:58:50
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