PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement
Summary
PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement is a scholarly article[1].
Key Facts
PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement. Retrieved May 24, 2026, from https://4ort.xyz/entity/physkannet-a-kan-based-model-for-multiscale-feature-extraction-and-contextual-fusion-in-remote-physiological-measurement
MLA“PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physkannet-a-kan-based-model-for-multiscale-feature-extraction-and-contextual-fusion-in-remote-physiological-measurement.
BibTeX@misc{4ortxyz_physkannet-a-kan-based-model-for-multiscale-feature-extraction-and-contextual-fusion-in-remote-physiological-measurement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement}}, year = {2026}, url = {https://4ort.xyz/entity/physkannet-a-kan-based-model-for-multiscale-feature-extraction-and-contextual-fusion-in-remote-physiological-measurement}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement — https://4ort.xyz/entity/physkannet-a-kan-based-model-for-multiscale-feature-extraction-and-contextual-fusion-in-remote-physiological-measurement (retrieved 2026-05-24)