… ABSTRACT In recent years,the airquality in China has become a matter of serious concern. Among the available indicators for evaluating airquality,PM2. 5 is one of the most important. …
… This paper proposes a visual analysis system for inline features of fine-grained airquality … We propose a deeplearningbased scheme that embeds high-dimensional airquality data into …
… environmental challenges, the fourth paper introduces a CNN-LSTM deep learning model for airpollution … , and historical pollution data to predict future pollution concentrations. As …
… prediction results, making it difficult to assist practical applications such as airpollution … Deeplearning-based spatio-temporal prediction and uncertainty assessment of urban PM2.…
… Abstract: Deep learning uses airpollution monitoring data as a … that the existing airpollution prediction methods fail to … area is obtained to evaluate the airquality of the study area. Based …
… detection and calorific value prediction. Furthermore, industrial … Following this, we envisage a calorific value prediction model … Deeplearningbased robot for automatically picking up …
… A deeplearning-based, CNN-LSTM-ResNet, is proposed for the demand … airquality index. The experiments are conducted on taxi GPS data of Xi’an, and the result shows that prediction …
… while conserving resources and mitigating the environmental impact. The convergence of the Internet of Things (IoT), predictive analytics, and machine learning has ushered in a …