Artificial intelligence approaches for spatial modeling of streambed hydraulic conductivity

Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data

(2018) V. Gholami et al.   CATENA

Non-tuned data intelligent model for soil temperature estimation: A new approach

(2018) Hadi Sanikhani et al.   GEODERMA

Variability of streambed hydraulic conductivity in an intermittent stream reach regulated by Vented Dams: A case study

(2018) Sujay Raghavendra Naganna et al.   JOURNAL OF HYDROLOGY

Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile

(2018) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction

(2018) Ozgur Kisi et al.   CATENA

Factors influencing streambed hydraulic conductivity and their implications on stream–aquifer interaction: a conceptual review

(2017) Sujay Raghavendra Naganna et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

(2017) Gerald Forkuor et al.   PLoS One

Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China

(2016) Chunlei Zhao et al.   CATENA

A machine learning approach to geochemical mapping

(2016) Charlie Kirkwood et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Estimation of Soil Cation Exchange Capacity using Multiple Regression, Artificial Neural Networks, and Adaptive Neuro-fuzzy Inference System Models in Golestan Province, Iran

(2015) Hadi Ghorbani et al.   COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS

Extreme Learning Machines for spatial environmental data

(2015) Michael Leuenberger et al.   COMPUTERS & GEOSCIENCES

Spatiotemporal Prediction of Fine Particulate Matter During the 2008 Northern California Wildfires Using Machine Learning

(2015) Colleen E. Reid et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

The heterogeneity of 3-D vertical hydraulic conductivity in a streambed

(2015) Guangdong Wu et al.   HYDROLOGY RESEARCH

The heterogeneity of 3-D vertical hydraulic conductivity in a streambed

(2015) Guangdong Wu et al.   Hydrology Research

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Spatial prediction of soil organic matter content integrating artificial neural network and ordinary kriging in Tibetan Plateau

(2014) Fuqiang Dai et al.   ECOLOGICAL INDICATORS

Spatial Estimation of Saturated Hydraulic Conductivity from Terrain Attributes Using Regression, Kriging, and Artificial Neural Networks

(2011) H.R. MOTAGHIAN et al.   PEDOSPHERE