Anomaly detection is one of the most researched topics in computer vision and machine
learning. Manual detection of an oddity in a video costs significant time and money, so there …

Monitoring of cities based on different air pollutants is required to manage the quality of air.
The worldwide ranking is based on the one air pollutant PM2. 5. The main purpose of the …

Air pollution has become one of the most important problems in urban areas, and
governments are applying regulations in an attempt to fulfill the recommendations of Air …

Using deep learning with satellite images enhances our understanding of human
development at a granular spatial and temporal level. Most studies have focused on Africa …

The refining of information from the immense amount of unstructured data on the internet
can be a critical issue in identifying public opinion. It is difficult to extract relevant concepts …

Indoor environments can pose a substantial respiratory infection risk, especially in densely
populated areas. It is therefore vital to evaluate and predict infection risks for mobile …

The CNN‐LSTM network has a low generalization ability, and the backward relevance of
actions is not strong. In this work, a convolutional self‐encoding timing network with a fusion …

In intelligent transportation systems, traffic management is an important task. The accurate
forecasting of traffic characteristics like flow, congestion, and density is still active research …

Outlier detection is one of the emerging study topics influenced by video annotation. An
outlier is anything odd or irregular that deviates from the norm. Outlier detection is subjective …

The sustainable development of settlements is increasingly linked to the development of
information technologies, which can help identify critical and risky locations based on …