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ECG Arrhythmia Classification Using 1D CNN Leveraging the Resampling Technique and Gaussian Mixture Model
Research article (2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2021) · cited 15× · AI/ML
ECG Arrhythmia Classification Using 1D CNN Leveraging the Resampling Technique and Gaussian Mixture Model is a scholarly article[1].
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APA4ort.xyz Knowledge Graph. (2026). ECG Arrhythmia Classification Using 1D CNN Leveraging the Resampling Technique and Gaussian Mixture Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/ecg-arrhythmia-classification-using-1d-cnn-leveraging-the-resampling-technique-and-gaussian-mixture-model
MLA“ECG Arrhythmia Classification Using 1D CNN Leveraging the Resampling Technique and Gaussian Mixture Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ecg-arrhythmia-classification-using-1d-cnn-leveraging-the-resampling-technique-and-gaussian-mixture-model.
BibTeX@misc{4ortxyz_ecg-arrhythmia-classification-using-1d-cnn-leveraging-the-resampling-technique-and-gaussian-mixture-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ECG Arrhythmia Classification Using 1D CNN Leveraging the Resampling Technique and Gaussian Mixture Model}}, year = {2026}, url = {https://4ort.xyz/entity/ecg-arrhythmia-classification-using-1d-cnn-leveraging-the-resampling-technique-and-gaussian-mixture-model}, note = {Accessed: 2026-05-24}}
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