KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing

Research article (IEEE Sensors Journal, 2020) · cited 61× · AI/ML
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KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing

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KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing. Retrieved May 24, 2026, from https://4ort.xyz/entity/knn-st-exploiting-spatio-temporal-correlation-for-missing-data-inference-in-environmental-crowd-sensing
MLA “KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/knn-st-exploiting-spatio-temporal-correlation-for-missing-data-inference-in-environmental-crowd-sensing.
BibTeX @misc{4ortxyz_knn-st-exploiting-spatio-temporal-correlation-for-missing-data-inference-in-environmental-crowd-sensing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing}}, year = {2026}, url = {https://4ort.xyz/entity/knn-st-exploiting-spatio-temporal-correlation-for-missing-data-inference-in-environmental-crowd-sensing}, note = {Accessed: 2026-05-24}}
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