most citedBlind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.NI2021★ 4 cited

Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks

Tiago Veiga, Erling Ljunggren, Kerstin Bach +1

Temporal drift of low-cost sensors is crucial for the applicability of wireless sensor networks (WSN) to measure highly local phenomenon such as air quality. The emergence of wirel…