… This study aims to create a machine-learning-based framework for spatial analysis under
cultural ecosystem services (CES) theories by adopting the methods for the spatial assessment …

… ABSTRACT In recent years,the air quality in China has become a matter of serious concern.
Among the available indicators for evaluating air quality,PM2. 5 is one of the most important. …

… quality to achieve improved air quality monitoring and management. Key words: air pollution;
machine … 当PM2郾5 的质量浓度增大到使空气质量指数(air quality index,AQI)约为150 时,会…

… This paper proposes a visual analysis system for inline features of fine-grained air quality …
We propose a deep learning based scheme that embeds high-dimensional air quality data into …

… environmental challenges, the fourth paper introduces a CNN-LSTM deep learning model
for air pollution … , and historical pollution data to predict future pollution concentrations. As …

… prediction results, making it difficult to assist practical applications such as air pollution …
Deep learning-based spatio-temporal prediction and uncertainty assessment of urban PM2.…

… Abstract: Deep learning uses air pollution monitoring data as a … that the existing air pollution
prediction methods fail to … area is obtained to evaluate the air quality of the study area. Based …

… detection and calorific value prediction. Furthermore, industrial … Following this, we envisage
a calorific value prediction model … Deep learning based robot for automatically picking up …

… A deep learning-based, CNN-LSTM-ResNet, is proposed for the demand … air quality 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 …