Progress of machine learning in geosciences: Preface
High-temperature granulites and supercontinents
Full field reservoir modeling of shale assets using advanced data-driven analytics
An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques
Benthic foraminifera as biostratigraphical and paleoecological indicators: An example from Oligo-Miocene deposits in the SW of Zagros basin, Iran
Tonalites and plagiogranites of the Char suture-shear zone in East Kazakhstan: Implications for the Kazakhstan-Siberia collision
Geofluids: Developments in Microthermometry, Spectroscopy, Thermodynamics and Stable IsotopesGeofluids: Developments in Microthermometry, Spectroscopy, Thermodynamics and Stable Isotopes, V. Hurai, M. Huraiovà, M. Slobodnik, R. Thomas , Elsevier (2015), 489 p
Predictability of US tornado outbreak seasons using ENSO and northern hemisphere geopotential height variability
Machine learning in geosciences and remote sensing
State-of-the-art review of some artificial intelligence applications in pile foundations
Multivariate adaptive regression splines and neural network models for prediction of pile drivability
Computer vision-based limestone rock-type classification using probabilistic neural network
Determination of rock depth using artificial intelligence techniques
Prediction of the residual strength of clay using functional networks
Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique
Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes
New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses