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In the last few years, the interest in the development of new pervasive or mobile implementations of air quality multi-sensor devices, has significantly grown. New application opportunities appeared together with new challenges due to limitations in dealing with rapid pollutants concentrations transients. In this work, we propose a Dynamic Neural Network (DNN) approach to the stochastic prediction...
The estimation of the chromaticity of an ambient light is relevant to many color-based vision applications, like object/people recognition, video-surveillance and assisted living. In this paper, we propose to estimate the chromaticity of an environmental light by means of a smart low-power color sensor. The sensor is composed by a RGB pixel connected to a micro-controller, embedding signal processing...
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