GreenEyes: An Air Quality Evaluating Model based on WaveNet

Hence, as people's awareness of health increases, Accompanying rapid industrialization, humans are suffering from more and more smart devices such as smart bands have been developed serious air pollution problems. The demand for air quality prediction and equipped, which can report air quality status. Moreover, is becoming more and more important to the government's a smart indoor air purifier can automatically purify the air when policy-making and people's daily life. In this paper, We propose the resident is not at home. GreenEyes - a deep neural network model, which consists of a The air pollution problem is widely discussed in the field of Artificial WaveNet-based backbone block for learning representations of Intelligence of Things (AIoT) and Sensing Networks. Some IoT sequences and an LSTM with a Temporal Attention module for capturing systems with variant functions are designed to monitor air quality the hidden interactions between features of multi-channel for different application scenarios [9, 17, 33].