Geoscience Frontiers 2016 Vol. 7 No. 1

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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