Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

Research article (Computers in Biology and Medicine, 2021) · cited 57× · AI/ML
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Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

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Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/cardiotocography-signal-abnormality-classification-using-time-frequency-features-and-ensemble-cost-sensitive-svm-classif
MLA “Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cardiotocography-signal-abnormality-classification-using-time-frequency-features-and-ensemble-cost-sensitive-svm-classif.
BibTeX @misc{4ortxyz_cardiotocography-signal-abnormality-classification-using-time-frequency-features-and-ensemble-cost-sensitive-svm-classif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier}}, year = {2026}, url = {https://4ort.xyz/entity/cardiotocography-signal-abnormality-classification-using-time-frequency-features-and-ensemble-cost-sensitive-svm-classif}, note = {Accessed: 2026-05-24}}
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