… 预测模型 Flight operation risk prediction model based on the … Although theoretically, machine
learning algorithms, such as … construct a cusp catastrophe model based on the framework …

… equations (PDEs) find wide application in describing various physical … Temporal predictions
of periodic flows using a mesh … GW-PINN: A deep learning algorithm for solving groundwater …

… Seawater intrusion characterization and dynamics prediction based on WANARX hybrid …
for groundwater utilization to counter SI were proposed. The study also presents a projection of …

… uses four collinear electrodes in a symmetrical array: two far DC current (source) electrodes
and two near potential … The predicted groundwater levels in six wells computed by the MNN-…

… RUL based on deep learning, this paper first analyzes the sources of uncertainty in RUL …
the RUL interval prediction of equipment based on deep learning and potential future research …

… model based on visual perception and image-based methods to simplify tree models and
then constructed a hybrid … incorporation of prediction and feedback, which makes full use of …

… Based on variation of observed elevation (Z-value) and cumulative Toposheet area from
different data sets, ASTER, SRTM and JAXA of 30m spatial resolution are best to use with …

… metals on groundwater quality as a result of fertilizer use[J]. … Research on water quality
prediction model based on echo … variable prediction using a hybrid CNN-LSTM deep learning …

… level has great significance to the management of groundwater. A prediction model based …
the temperature, vapor pressure and groundwater extraction representing the discharge term. …

… machine learning model are generally complex.For example, it is difficult to select reasonable
non-landslide grid cells when the machine learning … model has higher prediction rate than …