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Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms
Application of Gaussian Process Regression and Least-Square Support Vector Machine to the Soil-Structure Interaction of Multi-storey Buildings on Raft Foundation Using SAP2000
A new approach in using the GRACE satellite data and artificial intelligence models for modeling and predicting the groundwater level (case study: Aspas aquifer in Southern Iran)
On the reliability of a novel MODWT-based hybrid ARIMA-artificial intelligence approach to forecast daily Snow Depth (Case study: The western part of the Rocky Mountains in the U.S.A)
The reanalysis of a new strategy for groundwater level prediction using combined simulation of machine learning and Muskingum methods under ecological water replenishment
The combined use of dynamic factor analysis and wavelet analysis to evaluate latent factors controlling complex groundwater level fluctuations in a riverside alluvial aquifer
Development of the support vector regression–particle swarm optimization simulation‐optimization model for the assessment of a novel groundwater quality index
Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
Prediction of Groundwater Level Changes Using Hybrid Wavelet Self- Adaptive Extreme Learning Machine Model- Observation Well of Sarab Qanbar, Kermanshah
Surrogate models, physics-informed neural networks and climate change
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