nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A combined application of two soft computing algorithms for weathering degree quantification of andesitic rocks
|
Kadakci Koca, Tümay |
|
|
3-4 |
C |
p. |
artikel |
2 |
A comparative analysis of super-resolution techniques for enhancing micro-CT images of carbonate rocks
|
Soltanmohammadi, Ramin |
|
|
3-4 |
C |
p. |
artikel |
3 |
A comparative study on machine learning approaches for rock mass classification using drilling data
|
Hansen, Tom F. |
|
|
3-4 |
C |
p. |
artikel |
4 |
A competitive ensemble model for permeability prediction in heterogeneous oil and gas reservoirs
|
Adeniran, Ahmed A. |
|
2019 |
3-4 |
C |
p. |
artikel |
5 |
Adaptive Proxy-based Robust Production Optimization with Multilayer Perceptron
|
Ng, Cuthbert Shang Wui |
|
|
3-4 |
C |
p. |
artikel |
6 |
Advanced AI techniques for landslide susceptibility mapping and spatial prediction: A case study in Medellín, Colombia
|
Gómez-Miranda, I.N. |
|
|
3-4 |
C |
p. |
artikel |
7 |
Advanced wind speed prediction using convective weather variables through machine learning application
|
Md Abul Ehsan, Bhuiyan |
|
2019 |
3-4 |
C |
p. |
artikel |
8 |
Advancing geological image segmentation: Deep learning approaches for rock type identification and classification
|
Gupta, Amit Kumar |
|
|
3-4 |
C |
p. |
artikel |
9 |
A framework for constructing machine learning models with feature set optimisation for evapotranspiration partitioning
|
Stapleton, Adam |
|
|
3-4 |
C |
p. |
artikel |
10 |
A generative deep neural network as an alternative to co-kriging
|
Rakotonirina, Herbert |
|
|
3-4 |
C |
p. |
artikel |
11 |
A hybrid framework for modelling domains using quantitative covariates
|
Abildin, Yerniyaz |
|
|
3-4 |
C |
p. |
artikel |
12 |
A hybrid knowledge graph for efficient exploration of lithostratigraphic information in open text data
|
Li, Wenjia |
|
|
3-4 |
C |
p. |
artikel |
13 |
A machine learning approach for mapping susceptibility to land subsidence caused by ground water extraction
|
Orlandi, Diana |
|
|
3-4 |
C |
p. |
artikel |
14 |
A machine learning approach using legacy geophysical datasets to model Quaternary marine paleotopography
|
Obelcz, Jeffrey |
|
|
3-4 |
C |
p. |
artikel |
15 |
Amalgamations are valid in compositional data analysis, can be used in agglomerative clustering, and their logratios have an inverse transformation
|
Greenacre, Michael |
|
|
3-4 |
C |
p. |
artikel |
16 |
A mathematical model for a steady-state seepage flow of groundwater under a reinforced concrete dam
|
Elliotis, Miltiades C. |
|
2019 |
3-4 |
C |
p. |
artikel |
17 |
A model of fluid expulsion from compacting tight sedimentary rocks based on the Toggle-Switch algorithm
|
Wangen, Magnus |
|
|
3-4 |
C |
p. |
artikel |
18 |
A new approach to dust source mapping using visual interpretation and object-oriented segmentation of satellite imagery
|
Darvishi Boloorani, Ali |
|
|
3-4 |
C |
p. |
artikel |
19 |
A new inversion algorithm (PyMDS) based on the Pyro library to use chlorine 36 data as a paleoseismological tool on normal fault scarps
|
Llinares, Maureen |
|
|
3-4 |
C |
p. |
artikel |
20 |
Animated visualization of post-glacial land uplift and shore displacement from modeled paleotopographic reconstructions
|
Perheentupa, Viljami |
|
|
3-4 |
C |
p. |
artikel |
21 |
An in-depth multivariate analysis of P M 2 . 5 concentration and associated premature deaths in Europe and its strategic relationship with sustainability
|
Sanz-Martín, Laura |
|
|
3-4 |
C |
p. |
artikel |
22 |
An interactive sequential-decision benchmark from geosteering
|
Alyaev, Sergey |
|
|
3-4 |
C |
p. |
artikel |
23 |
AnnRG - An artificial neural network solute geothermometer
|
Ystroem, Lars H. |
|
|
3-4 |
C |
p. |
artikel |
24 |
An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS
|
Perret, Julien |
|
|
3-4 |
C |
p. |
artikel |
25 |
A novel few-shot learning framework for rock images dually driven by data and knowledge
|
Chen, Zhongliang |
|
|
3-4 |
C |
p. |
artikel |
26 |
An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing images
|
Sun, Yanbo |
|
|
3-4 |
C |
p. |
artikel |
27 |
A parsimonious parametrization of the Direct Sampling algorithm for multiple-point statistical simulations
|
Juda, Przemysław |
|
|
3-4 |
C |
p. |
artikel |
28 |
A plugin for computing the pore/grain network tortuosity of a porous medium from 2D/3D MicroCT image
|
Roque, Waldir L. |
|
|
3-4 |
C |
p. |
artikel |
29 |
Applying machine learning methods to predict geology using soil sample geochemistry
|
Lui, Timothy C.C. |
|
|
3-4 |
C |
p. |
artikel |
30 |
A practical approach for discriminating tectonic settings of basaltic rocks using machine learning
|
Nakamura, Kentaro |
|
|
3-4 |
C |
p. |
artikel |
31 |
A supervised machine learning procedure for EPMA classification and plotting of mineral groups
|
Cossio, R. |
|
|
3-4 |
C |
p. |
artikel |
32 |
A tie-point zone group compaction schema for the geolocation data of S-NPP and NOAA-20 VIIRS SDRs to reduce file sizes in memory-sensitive environments
|
Soerensen, Anders Meier |
|
|
3-4 |
C |
p. |
artikel |
33 |
Automated detection of microfossil fish teeth from slide images using combined deep learning models
|
Mimura, Kazuhide |
|
|
3-4 |
C |
p. |
artikel |
34 |
Automatic classification of plutonic rocks with deep learning
|
Alférez, Germán H. |
|
|
3-4 |
C |
p. |
artikel |
35 |
Automatic variogram inference using pre-trained Convolutional Neural Networks
|
Karim, Mokdad |
|
|
3-4 |
C |
p. |
artikel |
36 |
BioReactPy: An open-source software for simulation of microbial-mediated reactive processes in porous media
|
Starnoni, M. |
|
|
3-4 |
C |
p. |
artikel |
37 |
Biplots for compositional data derived from generalized joint diagonalization methods
|
Mueller, U. |
|
|
3-4 |
C |
p. |
artikel |
38 |
Chemical map classification in XMapTools
|
Lanari, Pierre |
|
|
3-4 |
C |
p. |
artikel |
39 |
Classification of geological borehole descriptions using a domain adapted large language model
|
Ghorbanfekr, Hossein |
|
|
3-4 |
C |
p. |
artikel |
40 |
CloudSense: A model for cloud type identification using machine learning from radar data
|
Nizar, Mehzooz |
|
|
3-4 |
C |
p. |
artikel |
41 |
Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
|
Lee, Eun Young |
|
|
3-4 |
C |
p. |
artikel |
42 |
Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data
|
Somvanshi, Shivangi S. |
|
|
3-4 |
C |
p. |
artikel |
43 |
Comparative performance analysis of simple U-Net, residual attention U-Net, and VGG16-U-Net for inventory inland water bodies
|
Ghaznavi, Ali |
|
|
3-4 |
C |
p. |
artikel |
44 |
Comparison of interpretation uncertainty in spatial domains using portable x-ray fluorescence and ICP data
|
McManus, Scott |
|
|
3-4 |
C |
p. |
artikel |
45 |
Computational fluid dynamics in carbonate rock wormholes using magnetic resonance images as structural information
|
Solcia, Gustavo |
|
|
3-4 |
C |
p. |
artikel |
46 |
Considerations in the application of machine learning to aqueous geochemistry: Origin of produced waters in the northern U.S. Gulf Coast Basin
|
Engle, Mark A. |
|
|
3-4 |
C |
p. |
artikel |
47 |
Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards
|
Wen, Min |
|
|
3-4 |
C |
p. |
artikel |
48 |
Contributions of machine learning to quantitative and real-time mud gas data analysis: A critical review
|
Anifowose, Fatai |
|
|
3-4 |
C |
p. |
artikel |
49 |
Corrigendum to “Adaptive proxy-based robust production optimization with multilayer perceptron” [Appl. Comput. Geosci. 16 (2022) 100103]
|
Ng, Cuthbert Shang Wui |
|
|
3-4 |
C |
p. |
artikel |
50 |
Corrigendum to ‘Parallel investigations of remote sensing and ground-truth lake Chad's level data using statistical and machine learning methods’ [Appl. Comput. Geosci. 20 (2023) 100135]
|
Djimadoumngar, Kim-Ndor |
|
|
3-4 |
C |
p. |
artikel |
51 |
Co-simulation of hydrofacies and piezometric data in the West Thessaly basin, Greece: A geostatistical application using the GeoSim R package
|
Valakas, George |
|
|
3-4 |
C |
p. |
artikel |
52 |
Current progress in subseasonal-to-decadal prediction based on machine learning
|
Shen, Zixiong |
|
|
3-4 |
C |
p. |
artikel |
53 |
Deep learning approach for predicting monsoon dynamics of regional climate zones of India
|
Dash, Yajnaseni |
|
|
3-4 |
C |
p. |
artikel |
54 |
Deep learning for real-time P-wave detection: A case study in Indonesia's earthquake early warning system
|
Wibowo, Adi |
|
|
3-4 |
C |
p. |
artikel |
55 |
Deformation analysis by an improved similarity transformation
|
Mahboub, Vahid |
|
|
3-4 |
C |
p. |
artikel |
56 |
Developing ground motion prediction models for West Java: A machine learning approach to support Indonesia's earthquake early warning system
|
Rachmadan, Andy |
|
|
3-4 |
C |
p. |
artikel |
57 |
Development of a monitoring system for ionospheric TEC variability before the earthquakes
|
Sharma, Gopal |
|
|
3-4 |
C |
p. |
artikel |
58 |
Development of the Synthetic Unit Hydrograph Tool – SUnHyT
|
Innocente dos Santos, Camyla |
|
|
3-4 |
C |
p. |
artikel |
59 |
3D hydrostratigraphic and hydraulic conductivity modelling using supervised machine learning
|
Tilahun, Tewodros |
|
|
3-4 |
C |
p. |
artikel |
60 |
Diagrams with multiple metals in CHNOSZ
|
Dick, Jeffrey M. |
|
|
3-4 |
C |
p. |
artikel |
61 |
DIFFUSUP: A graphical user interface (GUI) software for diffusion modeling
|
Chen, Junxing |
|
|
3-4 |
C |
p. |
artikel |
62 |
Do more with less: Exploring semi-supervised learning for geological image classification
|
Mamode, Hisham I. |
|
|
3-4 |
C |
p. |
artikel |
63 |
Editorial Board
|
|
|
|
3-4 |
C |
p. |
artikel |
64 |
Editorial Board
|
|
|
|
3-4 |
C |
p. |
artikel |
65 |
Editorial Board
|
|
|
|
3-4 |
C |
p. |
artikel |
66 |
Editorial Board
|
|
|
|
3-4 |
C |
p. |
artikel |
67 |
Editorial Board
|
|
|
|
3-4 |
C |
p. |
artikel |
68 |
Editorial Board
|
|
|
2019 |
3-4 |
C |
p. |
artikel |
69 |
Editorial Board
|
|
|
|
3-4 |
C |
p. |
artikel |
70 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
71 |
Editorial Board
|
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|
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3-4 |
C |
p. |
artikel |
72 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
73 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
74 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
75 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
76 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
77 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
78 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
79 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
80 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
81 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
82 |
Editorial Board
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3-4 |
C |
p. |
artikel |
83 |
Editorial Board
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3-4 |
C |
p. |
artikel |
84 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
85 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
86 |
Editorial Board
|
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3-4 |
C |
p. |
artikel |
87 |
Efficiency of template matching methods for Multiple-Point Statistics simulations
|
Sharifzadeh Lari, Mansoureh |
|
|
3-4 |
C |
p. |
artikel |
88 |
Enabling student self-guided field expeditions in geoscience with the GeoXploration platform for mobile apps
|
Lazar, Kelly B. |
|
|
3-4 |
C |
p. |
artikel |
89 |
Enhanced machine learning tree classifiers for lithology identification using Bayesian optimization
|
Asante-Okyere, Solomon |
|
|
3-4 |
C |
p. |
artikel |
90 |
Enhancing estuary salinity prediction: A Machine Learning and Deep Learning based approach
|
Saccotelli, Leonardo |
|
|
3-4 |
C |
p. |
artikel |
91 |
Enhancing prediction of fluid-saturated fracture characteristics using deep learning super resolution
|
Murugesu, Manju Pharkavi |
|
|
3-4 |
C |
p. |
artikel |
92 |
Enhancing reservoir porosity prediction from acoustic impedance and lithofacies using a weighted ensemble deep learning approach
|
Ntibahanana, Munezero |
|
|
3-4 |
C |
p. |
artikel |
93 |
Erratum regarding missing Declaration of Competing Interest statements in previously published articles
|
|
|
|
3-4 |
C |
p. |
artikel |
94 |
Estimating size of finite fracture networks in layered reservoirs
|
Ozkaya, Sait I. |
|
|
3-4 |
C |
p. |
artikel |
95 |
Estimating the seven transformational parameters between two geodetic datums using the steepest descent algorithm of machine learning
|
Kalu, Ikechukwu |
|
|
3-4 |
C |
p. |
artikel |
96 |
Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the Eastern Alps triangle zone
|
Brisson, Sofia |
|
|
3-4 |
C |
p. |
artikel |
97 |
Evaluating deep-learning models for debris-covered glacier mapping
|
Xie, Zhiyuan |
|
|
3-4 |
C |
p. |
artikel |
98 |
Evaluating Imputation Methods for rainfall data under high variability in Johor River Basin, Malaysia
|
Sa’adi, Zulfaqar |
|
|
3-4 |
C |
p. |
artikel |
99 |
Evaluating the classification of images from geoscience papers using small data
|
Santos, Jéssica S. |
|
|
3-4 |
C |
p. |
artikel |
100 |
Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India
|
Bhoopathi, Srikanth |
|
|
3-4 |
C |
p. |
artikel |
101 |
Evolution of the stress and strain field in the tyra field during the Post-Chalk Deposition and seismic inversion of fault zone using informed-proposal Monte Carlo
|
Khoshkholgh, Sarouyeh |
|
|
3-4 |
C |
p. |
artikel |
102 |
Flood susceptibility mapping: Integrating machine learning and GIS for enhanced risk assessment
|
Demissie, Zelalem |
|
|
3-4 |
C |
p. |
artikel |
103 |
Forecast of convective events via hybrid model: WRF and machine learning algorithms
|
Uchôa da Silva, Yasmin |
|
|
3-4 |
C |
p. |
artikel |
104 |
Forward modeling of magnetotellurics using Comsol Multiphysics
|
Li, A. |
|
|
3-4 |
C |
p. |
artikel |
105 |
FracRough—Computer program to calculate fracture roughness from reservoir rock core
|
Al-Fahmi, Mohamed M. |
|
|
3-4 |
C |
p. |
artikel |
106 |
Fracture density reconstruction using direct sampling multiple-point statistics and extreme value theory
|
Tanaka, Ana Paula Burgoa |
|
|
3-4 |
C |
p. |
artikel |
107 |
GeaVR: An open-source tools package for geological-structural exploration and data collection using immersive virtual reality
|
Bonali, Fabio Luca |
|
|
3-4 |
C |
p. |
artikel |
108 |
Generating land gravity anomalies from satellite gravity observations using PIX2PIX GAN image translation
|
Weldemikael, Bisrat Teshome |
|
|
3-4 |
C |
p. |
artikel |
109 |
Generation of μ CT images from medical CT scans of carbonate rocks using a diffusion-based model
|
Souza, João P.P. |
|
|
3-4 |
C |
p. |
artikel |
110 |
GeoCoDA: Recognizing and validating structural processes in geochemical data. A workflow on compositional data analysis in lithogeochemistry
|
Grunsky, Eric |
|
|
3-4 |
C |
p. |
artikel |
111 |
Geological object recognition in legacy maps through data augmentation and transfer learning techniques
|
Li, Wenjia |
|
|
3-4 |
C |
p. |
artikel |
112 |
Geomorphic mapping and investigation of the uplifted piedmont zone between Haridwar and Kotdwar, Indo-Gangetic Plain, India
|
Kralia, Abhishek |
|
|
3-4 |
C |
p. |
artikel |
113 |
Geoscience language models and their intrinsic evaluation
|
Lawley, Christopher J.M. |
|
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3-4 |
C |
p. |
artikel |
114 |
GeoSim: An R-package for plurigaussian simulation and Co-simulation between categorical and continuous variables
|
Valakas, George |
|
|
3-4 |
C |
p. |
artikel |
115 |
Geosteering based on resistivity data and evolutionary optimization algorithm
|
Pavlov, Maksimilian |
|
|
3-4 |
C |
p. |
artikel |
116 |
Geotechnical soil mapping from electrical and mechanical properties: Case study of the Bafoussam urban area, west Cameroon
|
Malick Rosvelt, Demanou Messe |
|
|
3-4 |
C |
p. |
artikel |
117 |
Geoweaver_cwl: Transforming geoweaver AI workflows to common workflow language to extend interoperability
|
Kale, Amruta |
|
|
3-4 |
C |
p. |
artikel |
118 |
Global Normalized Difference Vegetation Index forecasting from air temperature, soil moisture and precipitation using a deep neural network
|
Fathollahi, Loghman |
|
|
3-4 |
C |
p. |
artikel |
119 |
Great SCO 2 T! Rapid tool for carbon sequestration science, engineering, and economics
|
Middleton, Richard S. |
|
|
3-4 |
C |
p. |
artikel |
120 |
Improved reservoir characterization of thin beds by advanced deep learning approach
|
Manzoor, Umar |
|
|
3-4 |
C |
p. |
artikel |
121 |
Improved supervised classification of bedrock in areas of transported overburden: Applying domain expertise at Kerkasha, Eritrea
|
Hood, Shawn B. |
|
|
3-4 |
C |
p. |
artikel |
122 |
Integrating empirical analysis and deep learning for accurate monsoon prediction in Kerala, India
|
Dash, Yajnaseni |
|
|
3-4 |
C |
p. |
artikel |
123 |
Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India
|
Prasad, Pankaj |
|
|
3-4 |
C |
p. |
artikel |
124 |
Interactive web mapping tools and custom subsurface cross-sections for interdisciplinary geologic investigation
|
Gardner Oldemeyer, Tessica Anne |
|
|
3-4 |
C |
p. |
artikel |
125 |
Interpretation techniques to explain the output of a spatial land subsidence hazard model in an area with a diverted tributary
|
Seihani, Razieh |
|
|
3-4 |
C |
p. |
artikel |
126 |
Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances
|
McKinley, Jennifer M. |
|
|
3-4 |
C |
p. |
artikel |
127 |
Irida: A machine learning based code for the automated derivation of site-specific rock type logs and their properties using Kimeleon colourlith image logs
|
Mishra, Achyut |
|
|
3-4 |
C |
p. |
artikel |
128 |
Irrigated rice-field mapping in Brazil using phenological stage information and optical and microwave remote sensing
|
Garcia, Andre Dalla Bernardina |
|
|
3-4 |
C |
p. |
artikel |
129 |
Knowledge-based query system for the critical minerals
|
Davarpanah, Armita |
|
|
3-4 |
C |
p. |
artikel |
130 |
Knowledge graphs for seismic data and metadata
|
Davis, William |
|
|
3-4 |
C |
p. |
artikel |
131 |
Land use and land cover classification for change detection studies using convolutional neural network
|
Pushpalatha, V. |
|
|
3-4 |
C |
p. |
artikel |
132 |
lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data
|
Lubbers, Jordan |
|
|
3-4 |
C |
p. |
artikel |
133 |
Long-term temperature prediction with hybrid autoencoder algorithms
|
Pérez-Aracil, J. |
|
|
3-4 |
C |
p. |
artikel |
134 |
LSTM-based DEM generation in riverine environment
|
Lovász, Virág |
|
|
3-4 |
C |
p. |
artikel |
135 |
Machine learning – An approach for consistent rock glacier mapping and inventorying – Example of Austria
|
Erharter, Georg H. |
|
|
3-4 |
C |
p. |
artikel |
136 |
Machine Learning model interpretability using SHAP values: Application to Igneous Rock Classification task
|
Antonini, Antonella S. |
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Parallel investigations of remote sensing and ground-truth Lake Chad's level data using statistical and machine learning methods
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Partial correlations in compositional data analysis
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