The development of multisensory systems and the ongoing application of data collection
technologies have both contributed to the explosion of time series data. However, due to …

Groundwater surface (GWS), which denotes the vertical extent of the water table or the
volume of subterranean water within geologic formations, is pivotal for effective groundwater …

The widespread use of data across various fields has made missing data imputation
technology a crucial tool. High-quality data is essential for effective energy management in …

With rising environmental concerns, accurate air quality predictions have become
paramount as they help in planning preventive measures and policies for potential health …

风电具有的波动性, 间歇性等特点对并网造成一定程度的影响, 提前进行风电功率预测是解决
上述问题的一个重要途径. 但传感器传输, 网络通信等不可控因素的存在, 导致采集到用于风电 …

Quickly gras** the time-consuming water quality indicators (WQIs) such as total nitrogen
(TN) and total phosphorus (TP) of influent is an essential prerequisite for wastewater …

This study compares three imputation methods applied to the field observations of hydraulic
head in subsurface hydrology. Hydrogeological studies that analyze the timeseries of …

Current soil pollution prediction methods need improvement, especially with regard to
accuracy in supplementing missing heavy-metal values in soil, and the accuracy and slow …

This study investigates the effectiveness of various missing data imputation techniques on
the performance of deep learning models for time-series forecasting using the Bei**g PM2 …

Background Mortality risk prediction is to predict whether a patient has the risk of death
based on relevant diagnosis and treatment data. How to accurately predict patient mortality …