TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction

Research article (IEEE Sensors Journal, 2024) · cited 10× · AI/ML
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TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction

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TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction. Retrieved May 24, 2026, from https://4ort.xyz/entity/teda-rls-a-tinyml-incremental-learning-approach-for-outlier-detection-and-correction
MLA “TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/teda-rls-a-tinyml-incremental-learning-approach-for-outlier-detection-and-correction.
BibTeX @misc{4ortxyz_teda-rls-a-tinyml-incremental-learning-approach-for-outlier-detection-and-correction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction}}, year = {2026}, url = {https://4ort.xyz/entity/teda-rls-a-tinyml-incremental-learning-approach-for-outlier-detection-and-correction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction — https://4ort.xyz/entity/teda-rls-a-tinyml-incremental-learning-approach-for-outlier-detection-and-correction (retrieved 2026-05-24)

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