和尚吃肉片 发表于 2025-3-21 19:51:54
书目名称Intelligent Vision in Healthcare影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0470193<br><br> <br><br>书目名称Intelligent Vision in Healthcare读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0470193<br><br> <br><br>NOTCH 发表于 2025-3-21 22:35:11
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,Predicting Heart Disease with Multiple Classifiers,rest, K-nearest neighbor, and logistic regression. The final class of a new instance is that predicted by the maximum weighted sum of predictions from the classifiers. This technique is compared with already existing methods, and an improvement in accuracy (92.10%) and sensitivity (94.59%) and a draDeject 发表于 2025-3-22 07:47:30
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Automatic Brain Tumor Classification in 2D MRI Images Using Integrated Deep Learning and Supervisedop, and detection accuracy of 98.1%, 92.5%, and 83.0% is achieved. The features are extracted using CNN, and tumor detection is done by using four supervised machine learning classifiers. The classifiers used are SVM, KNN classifier, Naïve Bayes classifier, and discriminant analysis. The accuracy acinspiration 发表于 2025-3-22 18:00:58
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P. Hosanna Princye,M. Lavanya,S. Siva Subramanian,M. Arivalagan,S. Bagyarajg that blurs the line between truth and falsehood with increasingly powerful strategies supported by artificial intelligence..978-3-030-81570-7978-3-030-81568-4Series ISSN 2945-6118 Series E-ISSN 2945-6126Nonthreatening 发表于 2025-3-23 05:07:53
M. Ganeshkumar,V. Sowmya,E. A. Gopalakrishnan,K. P. Somancrescendo 发表于 2025-3-23 06:56:12
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