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Due to equipment and transmission failures, data loss presents a key challenge to air quality monitoring. This paper attempts to recover missing air quality data from an air quality database.
Sensor-based human activity recognition (HAR) requires the acquisition of channel state information (CSI) data with time series based on sensors to predict human behavior. Many existing approaches are ...
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