Information Density quantified by phase in eigen space and mutual information enables virtual sensing that replaces physical sensors with under 3.21% mean error on real Madrid smart-city data.
The role of local urban traffic and meteorological conditions in air pollution: A data-based case study in madrid, spain
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Information Density as a Quantitative Measure for AI-enabled Virtual Sensing: Feasibility and Limits
Information Density quantified by phase in eigen space and mutual information enables virtual sensing that replaces physical sensors with under 3.21% mean error on real Madrid smart-city data.