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Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning
Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 15× · AI/ML
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning
Summary
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning is a scholarly article[1].
Key Facts
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-edge-computing-methods-in-internet-of-things-architectures-for-efficient-estimation-of-indoor-environmenta
MLA“Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-edge-computing-methods-in-internet-of-things-architectures-for-efficient-estimation-of-indoor-environmenta.
BibTeX@misc{4ortxyz_comparison-of-edge-computing-methods-in-internet-of-things-architectures-for-efficient-estimation-of-indoor-environmenta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-edge-computing-methods-in-internet-of-things-architectures-for-efficient-estimation-of-indoor-environmenta}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning — https://4ort.xyz/entity/comparison-of-edge-computing-methods-in-internet-of-things-architectures-for-efficient-estimation-of-indoor-environmenta (retrieved 2026-05-24)
