CNN-RNN architecture to calculate BPM from underwater ECG samples
Research article (Applied Intelligence, 2023) · cited 11× · AI/ML
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Direct Wikidata claims
- [2] ↑ CNN-RNN architecture to calculate BPM from underwater ECG samples — instance of (P31): scholarly article. wikidata.org.
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4ort.xyz Knowledge Graph. (2026). CNN-RNN architecture to calculate BPM from underwater ECG samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-rnn-architecture-to-calculate-bpm-from-underwater-ecg-samples
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“CNN-RNN architecture to calculate BPM from underwater ECG samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-rnn-architecture-to-calculate-bpm-from-underwater-ecg-samples.
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@misc{4ortxyz_cnn-rnn-architecture-to-calculate-bpm-from-underwater-ecg-samples_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN-RNN architecture to calculate BPM from underwater ECG samples}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-rnn-architecture-to-calculate-bpm-from-underwater-ecg-samples}, note = {Accessed: 2026-05-24}}
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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CNN-RNN architecture to calculate BPM from underwater ECG samples — https://4ort.xyz/entity/cnn-rnn-architecture-to-calculate-bpm-from-underwater-ecg-samples (retrieved 2026-05-24)
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