VERSE
发表于 2025-3-21 18:55:55
书目名称Evolution in Computational Intelligence影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0317698<br><br> <br><br>书目名称Evolution in Computational Intelligence读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0317698<br><br> <br><br>
LANCE
发表于 2025-3-21 23:31:01
,Localization and Classification of Thoracic Abnormalities from Chest Radiographs Using Deep Ensembldes two pipelines and an ensemble method. In the first pipeline, YOLOv5 and EfficientNet are used. In second pipeline, the Faster R-CNN model is used. Through the Weighted box fusion method, the fused predictions are created from pipeline results. The final detection results illustrate confidence sc
僵硬
发表于 2025-3-22 02:09:20
,Brain Tumor Prediction from MRI Images Using an Ensemble Model Based on EfficientNet-B2, B4, and Re four types of MRI images, i.e., (i) Inversion Recovery with Fluid Attenuation, (ii) T1-weighted pre-contrast, (iii) T1-weighted post-contrast, and (iv) T2-weighted. Proposed deep ensembled network has demonstrated satisfactory performance and efficiency on the dataset.
充足
发表于 2025-3-22 07:50:00
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光亮
发表于 2025-3-22 11:11:05
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enlist
发表于 2025-3-22 13:55:35
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enlist
发表于 2025-3-22 19:12:43
,An Approach of Hate Speech Identification on Twitter Corpus,s a need for integrated datasets and the hate speech prediction method. This paper describes the study on hate speech and offensive content identification in English language by using the various approaches based on machine learning algorithms (Support vector machine, decision tree, and so on) and N
博识
发表于 2025-3-22 22:56:30
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radiograph
发表于 2025-3-23 02:59:24
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谆谆教诲
发表于 2025-3-23 08:02:25
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