Obsequious
发表于 2025-3-30 10:05:49
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现实
发表于 2025-3-30 14:15:31
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JEER
发表于 2025-3-30 19:58:00
https://doi.org/10.1007/978-3-662-25601-510-fold cross validation procedure in this study. We have also employed the Bagging ensemble approach with Random Forest to improve the result. Our suggested model has given 85.18% accuracy through Recursive Feature Elimination with Bagging (Random Forest).
extinct
发表于 2025-3-30 23:27:35
,Eigenschaften der Flüssigkeiten,sifier, Random Forest, Support Vector Machine) to predict whether a person has cardiovascular disease or not. We applied a raw dataset with 12 attributes and our engineered dataset with 16 attributes on these algorithms. In both dataset number of data points were 62500. After analyzing the accuracy,
ablate
发表于 2025-3-31 04:41:40
Schnittgeschwindigkeiten und Vorschübet201, and InceptionResNetV2 were utilized to tag COVID-19 as negative or positive in case of the CT scan inputs. Our used transfer learning based Xception, MobileNetV2, InceptionV3, DenseNet201, and IncpetionResNetV2 achieved the highest validation accuracy of 92.19%, 97.40%, 85.42%, 86.98%, and 95.
金哥占卜者
发表于 2025-3-31 06:54:31
Salesforce-Integrationsarchitektur,ord Error Rate (WER) of 42.15%. We tested our developed database management architecture for the Interaction Recognition system with the three-step evaluation using BERT sentence transformer (paraphrase-mpnet-base-v2) that provided satisfactory responses with 92% accuracy, increasing the receptionis