The main goal of this paper is to review systematically the recent studies that have been
published and discussed WD prediction models. The literature analysis is performed based …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Applying conventional methods for prediction of environmental impacts in agricultural
production is not actually applicable because they usually ignore other aspects such as …

Accurate estimation of missing traffic data is one of the essential components in intelligent
transportation systems (ITS). The non-Euclidean data structure and complex missing traffic …

An accurate estimation of missing data in traffic flow is crucial in urban planning, intelligent
transportation, economic geography, and other fields. Thus, improving the data quality of …

The current pneumonia image recognition mainly depends on the doctor's experience, but
the CT images of some pneumonia are very similar, which leads to easy misdiagnosis …

Monitoring traffic conditions on urban signalized road networks is an essential component of
urban traffic control systems. Due to the sparseness of trajectory data and the influence of …

In response to the problem of missing traffic flow data on highways, to solve the problem of
insufficient mining of traffic flow characteristics using existing spatiotemporal correlation …

The reliability of hourly PM2. 5 data obtained from air quality monitoring stations is
compromised as a result of the missing values, thereby impeding the thorough examination …

If on the one hand the world population is increasing rapidly, on the other hand, the area of
arable land is increasingly smaller, the climatic conditions are increasingly unstable, water …