Computers & Geosciences

Papers
(The TQCC of Computers & Geosciences is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A review of Earth Artificial Intelligence98
PINNeik: Eikonal solution using physics-informed neural networks82
A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet81
Semantic segmentation of high-resolution remote sensing images based on a class feature attention mechanism fused with Deeplabv3+68
Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow68
Deep learning of rock images for intelligent lithology identification62
Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China61
A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region61
Imputation of missing well log data by random forest and its uncertainty analysis61
A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach60
Developing comprehensive geocomputation tools for landslide susceptibility mapping: LSM tool pack58
Knowledge graph construction and application in geosciences: A review57
Machine learning in ground motion prediction57
The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset55
Deep convolutional neural network for automatic fault recognition from 3D seismic datasets51
Numerical modelling of deep coaxial borehole heat exchangers in the Cheshire Basin, UK48
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks48
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder47
A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)45
Landslide susceptibility prediction based on image semantic segmentation45
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification43
3D geological structure inversion from Noddy-generated magnetic data using deep learning methods43
Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method42
Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China42
3D CNN-PCA: A deep-learning-based parameterization for complex geomodels41
Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit41
EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data40
Real-time water level monitoring using live cameras and computer vision techniques40
A positive and unlabeled learning algorithm for mineral prospectivity mapping40
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model39
Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling39
Multimodal imaging and machine learning to enhance microscope images of shale38
A new structure for representing and tracking version information in a deep time knowledge graph37
A general approach to seismic inversion with automatic differentiation36
Characterization of pore and grain size distributions in porous geological samples – An image processing workflow35
Application of deep learning for semantic segmentation of sandstone thin sections35
Principal component analysis (PCA) based hybrid models for the accurate estimation of reservoir water saturation34
Seismic fault detection using convolutional neural networks with focal loss33
DeepRivWidth : Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka33
Applications of data augmentation in mineral prospectivity prediction based on convolutional neural networks32
Classification of earthquakes, explosions and mining-induced earthquakes based on XGBoost algorithm32
Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area31
Mineral prospectivity mapping using a joint singularity-based weighting method and long short-term memory network30
Deep learning-based image classification for online multi-coal and multi-class sorting30
Improved estimation of coalbed methane content using the revised estimate of depth and CatBoost algorithm: A case study from southern Sichuan Basin, China30
A geologically-constrained deep learning algorithm for recognizing geochemical anomalies28
Rock thin sections identification based on improved squeeze-and-Excitation Networks model28
MudrockNet: Semantic segmentation of mudrock SEM images through deep learning27
Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms27
Discontinuity interpretation and identification of potential rockfalls for high-steep slopes based on UAV nap-of-the-object photogrammetry26
Automatic picking of multi-mode surface-wave dispersion curves based on machine learning clustering methods26
A critical review of discontinuity plane extraction from 3D point cloud data of rock mass surfaces26
3D model generated from UAV photogrammetry and semi-automated rock mass characterization26
An open-source multiphysics simulation code for coupled problems in porous media26
Random noise attenuation in seismic data using Hankel sparse low-rank approximation25
Probabilistic logging lithology characterization with random forest probability estimation25
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method25
Application of group decision-making AHP of confidence index and cloud model for rock slope stability evaluation25
ENN-SA: A novel neuro-annealing model for multi-station drought prediction24
Dynamic committee machine with fuzzy-c-means clustering for total organic carbon content prediction from wireline logs24
PDAL: An open source library for the processing and analysis of point clouds24
Deep learning in denoising of micro-computed tomography images of rock samples23
powdR: An R package for quantitative mineralogy using full pattern summation of X-ray powder diffraction data23
GROOPS: A software toolkit for gravity field recovery and GNSS processing22
GeospatialVR: A web-based virtual reality framework for collaborative environmental simulations22
A hybrid approach for El Niño prediction based on Empirical Mode Decomposition and convolutional LSTM Encoder-Decoder22
Bagging-based positive-unlabeled learning algorithm with Bayesian hyperparameter optimization for three-dimensional mineral potential mapping22
DeepQuake — An application of CNN for seismo-acoustic event classification in The Netherlands21
A comparison of isometric and amalgamation logratio balances in compositional data analysis21
A statistical analysis of lossily compressed climate model data20
Study on offshore seabed sediment classification based on particle size parameters using XGBoost algorithm20
Well-to-well correlation and identifying lithological boundaries by principal component analysis of well-logs20
Integrating scientific knowledge into machine learning using interactive decision trees20
A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition20
SMART mineral mapping: Synchrotron-based machine learning approach for 2D characterization with coupled micro XRF-XRD20
A tutorial and open source software for the efficient evaluation of gravity and magnetic kernels19
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks19
GravPSO2D: A Matlab package for 2D gravity inversion in sedimentary basins using the Particle Swarm Optimization algorithm19
PSO-WELLSVM: An integrated method and its application in urban waterlogging susceptibility assessment in the central Wuhan, China19
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information19
Joint event location and velocity model update in real-time for downhole microseismic monitoring: A deep learning approach19
Quality control of microseismic P-phase arrival picks in coal mine based on machine learning19
Segmentation of ore and waste rocks in borehole images using the multi-module densely connected U-net19
Web-based machine learning tool that determines the origin of natural gases18
A locally conservative mixed finite element framework for coupled hydro-mechanical–chemical processes in heterogeneous porous media18
LinkClimate: An interoperable knowledge graph platform for climate data18
De-aliased seismic data interpolation using conditional Wasserstein generative adversarial networks18
Disaster damage assessment based on fine-grained topics in social media18
Random-forest based adjusting method for wind forecast of WRF model18
Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients18
Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation18
A partial convolution-based deep-learning network for seismic data regularization118
Mapping Phenological Functional Types (PhFT) in the Indian Eastern Himalayas using machine learning algorithm in Google Earth Engine17
Coupled physics-deep learning inversion17
Complex-valued neural networks for machine learning on non-stationary physical data17
Automated crater detection with human level performance17
Machine learning models combined with wavelet transform and phase space reconstruction for groundwater level forecasting16
3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms16
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients16
Multi-domain diffraction identification: A supervised deep learning technique for seismic diffraction classification16
Effective training strategies for deep-learning-based precipitation nowcasting and estimation16
Deep geothermal energy in northern England: Insights from 3D finite difference temperature modelling16
Image-based rock typing using grain geometry features15
Reconstructing porous media using generative flow networks15
SeisElastic2D: An open-source package for multiparameter full-waveform inversion in isotropic-, anisotropic- and visco-elastic media15
Understanding geological reports based on knowledge graphs using a deep learning approach15
Siamese Adversarial Network for image classification of heavy mineral grains15
AnalyZr: A Python application for zircon grain image segmentation and shape analysis15
A fast and robust method for detecting trend turning points in InSAR displacement time series15
Multi-layer perceptron-based tectonic discrimination of basaltic rocks and an application on the Paleoproterozoic Xiong'er volcanic province in the North China Craton15
A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration15
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization15
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs14
Tree segmentation and change detection of large urban areas based on airborne LiDAR14
An automatized XKS-splitting procedure for large data sets: Extension package for SplitRacer and application to the USArray14
Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning14
Semi-supervised label propagation for multi-source remote sensing image change detection14
Modified-mean-shift-based noisy label detection for hyperspectral image classification14
MLFC-net: A multi-level feature combination attention model for remote sensing scene classification14
Real-time social media sentiment analysis for rapid impact assessment of floods14
Enhancing resolution of micro-CT images of reservoir rocks using super resolution14
Automated segmentation of textured dust storms on mars remote sensing images using an encoder-decoder type convolutional neural network14
Accelerating geostatistical modeling using geostatistics-informed machine Learning13
Classification, segmentation and correlation of zoned minerals13
Numerical dispersion and dissipation of the triangle-based discontinuous Galerkin method for acoustic and elastic velocity-stress equations13
Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales13
Spatial modelling of hydrothermal mineralization-related geochemical patterns using INLA+SPDE and local singularity analysis13
Deep diffusion models for seismic processing13
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea12
GPU acceleration of MPAS microphysics WSM6 using OpenACC directives: Performance and verification12
Fractal dimension of India using multicore parallel processing12
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion12
Congruence and geometric feature-based commutative encryption-watermarking method for vector maps12
Remote sensing scene classification under scarcity of labelled samples—A survey of the state-of-the-arts12
Optimization of drilling parameters using combined multi-objective method and presenting a practical factor12
Three-dimensional magnetotelluric modeling using the finite element model reduction algorithm12
A 3D reconstruction method of porous media based on improved WGAN-GP12
A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes12
Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest☆12
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets12
Upgraded software for structural gravity inversion and application to El Hierro (Canary Islands)12
TITIPy: A Python tool for the calculation and mapping of topside ionosphere turbulence indices11
Noise suppression method based on multi-scale Dilated Convolution Network in desert seismic data11
Dynamic modelling of overprinted low-permeability fault cores and surrounding damage zones as lower dimensional interfaces for multiphysics simulations11
New Fuzzy-AHP Matlab based graphical user interface (GUI) for a broad range of users: Sample applications in the environmental field11
A new operator-splitting finite element scheme for reactive transport modeling in saturated porous media11
Grav3CH_inv: A GUI-based MATLAB code for estimating the 3-D basement depth structure of sedimentary basins with vertical and horizontal density variation11
A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit11
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media11
A vector-based method for drainage network analysis based on LiDAR data11
Three-dimensional magnetotelluric modeling in general anisotropic media using nodal-based unstructured finite element method11
A Level Set-Discrete Element Method in YADE for numerical, micro-scale, geomechanics with refined grain shapes11
Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles11
Automatic extraction of outcrop cavity based on a multiscale regional convolution neural network11
Parallel computing for Fast Spatiotemporal Weighted Regression10
Constructing large-scale complex aquifer systems with big well log data: Louisiana model10
Neural transfer learning for soil liquefaction tests10
QUIDDIT - QUantification of infrared active Defects in Diamond and Inferred Temperatures10
Computational cost comparison between nodal and vector finite elements in the modeling of controlled source electromagnetic data using a direct solver10
Effect of missing data on short time series and their application in the characterization of surface temperature by detrended fluctuation analysis10
Comparison of machine learning algorithms for emulation of a gridded hydrological model given spatially explicit inputs10
Community detection in spatial correlation graphs: Application to non-stationary ground motion modeling10
Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing10
A novel framework for seamless mosaic of Cartosat-1 DEM scenes10
Users of open Big Earth data – An analysis of the current state10
Analytical model for solute transport in discrete fracture networks: 2D spatiotemporal solution with matrix diffusion10
Coupled THMC modeling of dissociation induced deformation of gas hydrate bearing media10
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method10
Automatic detection of Ionospheric Alfvén Resonances in magnetic spectrograms using U-net10
Distilling data to drive carbon storage insights10
Inversion of TEM measurement data via a quantum particle swarm optimization algorithm with the elite opposition-based learning strategy9
Deep learning in image segmentation for mineral production: A review9
Volunteered geographic information mobile application for participatory landslide inventory mapping9
A nearest neighbor multiple-point statistics method for fast geological modeling9
A convolutional neural network for semi-automated lineament detection and vectorisation of remote sensing data using probabilistic clustering: A method and a challenge9
Hybrid homotopy-PSO global searching approach with multi-kernel extreme learning machine for efficient source identification of DNAPL-polluted aquifer9
Direct Multivariate Simulation - A stepwise conditional transformation for multivariate geostatistical simulation9
DeepVarveNet: Automatic detection of glacial varves with deep neural networks9
Graph-based deep learning segmentation of EDS spectral images for automated mineral phase analysis9
A web-based system for satellite-based high-resolution global soil moisture maps9
Optimized Apriori algorithm for deformation response analysis of landslide hazards9
A modeling framework (WRF-Landlab) for simulating orogen-scale climate-erosion coupling9
Hydrologic similarity based on width function and hypsometry: An unsupervised learning approach9
Comparison of different implementations of a raster map calculator9
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