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Earth Science Informatics

IF3
Papers627
Citations3320
Journal Papers 572
Publication Date
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Interpretable geospatial machine learning for seasonal land surface temperature prediction using multi-source earth observation data
deleteEarth Science Informatics
IF3
delete2026-08-13
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PREAI
deleteBui B. Thien; Tatiana Minkina; Svetlana Sushkova; Alexander Ioshpa; Denis Krivoguz; Alexander Khavansky; Yuri Litvinov; Anton Mezhenkov; Sudeep Tanwar; Ekaterina Kravchenko
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Radiometric-Assisted Heat Flow from Precambrian basement rocks, SW Nigeria: Implications on geothermal potential and geodynamic evolution
deleteEarth Science Informatics
IF3
delete2026-08-12
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PREAI
deleteSamuel O. Sedara; Olusegun O. Alabi; Oludayo O. Adekanye; Abdulafeez O. Olaleye; Christopher O. Albert; Abigail T. Olaoluwa
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Predicting dissolved lithium in geothermal fluids from routine hydrogeochemistry: a machine learning framework with calibrated uncertainty quantification
deleteEarth Science Informatics
IF3
delete2026-08-11
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PREAI
deleteFusun S. Tut Haklidir; Mehmet Haklidir
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Adaptive multi-level feature learning framework for natural disaster image classification
deleteEarth Science Informatics
IF3
delete2026-08-10
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PREAI
deleteGourav Mondal; Rajesh Kumar Dhanaraj; Dragan Pamucar; Vladimir Simic
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Data-driven tectonic prospectivity modeling for granite-hosted uranium systems: integrating empirical scaling and spatial statistics
deleteEarth Science Informatics
IF3
delete2026-08-04
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PREAI
deleteJianan Zhao; Yingru Pei; Chonghao Liu
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Researcher-Curated knowledge governance for trustworthy scientific AI in the geosciences: the rockGPT approach
deleteEarth Science Informatics
IF3
delete2026-08-03
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deleteDaniele Bailo; Valentino Lauciani; Raffaele Di Stefano; Fabrizio Bernardi
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Hybrid machine learning models for predicting crack stress thresholds in granitic rocks: A metaheuristic hyperparameter optimization framework
deleteEarth Science Informatics
IF3
delete2026-07-30
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deleteSamad Narimani; Balázs Vásárhelyi
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The O2A data flow framework: from observations to analysis and archives
deleteEarth Science Informatics
IF3
delete2026-07-30
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deleteRoland Koppe; Sonja Hänzelmann; Daniel Damaske; Sebastian Immoor; Janine Felden; Angela Schäfer; Gauvain Wiemer; Frank Oliver Glöckner
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A variational bayesian method for 3D inversion of gravity data with total variation regularization
deleteEarth Science Informatics
IF3
delete2026-07-29
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PREAI
deleteMohammad Rezaie
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Advanced cvPINN-TL-DFN reconstruction and multi-scale transfer learning of complex fracture networks in granite for enhanced geothermal systems applications
deleteEarth Science Informatics
IF3
delete2026-07-27
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PREAI
deleteMohammed Ali Badjadi; Haiyan Zhu; Peng Zhao; Shouwei Zhou; Twine Usito Bakesigakyi; Muhsan Ehsan
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A gradient-guided spatiotemporal network for lithology identification in complex coal-bearing strata
deleteEarth Science Informatics
IF3
delete2026-07-25
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PREAI
deleteShuangcheng Yang; Xiaoying Lin; Zhonghao Zhang; Xiang Yu
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Data augmentation framework for rock thin section identification and classification under the condition of small samples
deleteEarth Science Informatics
IF3
delete2026-07-21
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PREAI
deleteChen Zhang; Kai Lin
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Interpretable and uncertainty-aware machine learning for shear-wave velocity estimation from conventional well logs
deleteEarth Science Informatics
IF3
delete2026-07-16
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PREAI
deleteAkbar Ali; Rongyi Qian
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Two-dimensional gravity inversion with adaptive moment estimation (ADAM): application for geothermal exploration
deleteEarth Science Informatics
IF3
delete2026-07-16
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PREAI
deleteWahyu Eko Junian
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A fast high-precision geospatial grid interpolation algorithm
deleteEarth Science Informatics
IF3
delete2026-07-15
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PREAI
deleteHengjing Zhang; Sikai Hao; Chuyuan Liu
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Machine learning for lithology identification in electrical image logging: A case study of the Chang 73 Sub-Member, Yanchang Formation, East Gansu region, Ordos Basin
deleteEarth Science Informatics
IF3
delete2026-07-13
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PREAI
deleteJiaqi Li; Hongping Bao; Shilong Liu; Pingping Shi; Feiming Gao; Liubin Wei; Langlang Wang; Hongyan Yu
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Idealizing the role of soil particle size fractions in arsenic mobilization mechanisms and severity in groundwater using an explanatory framework of machine learning and SHAP analysis
deleteEarth Science Informatics
IF3
delete2026-07-13
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PREAI
deleteTuhin Subhra Konar; Rijurekha Dasgupta; Gourab Banerjee; Saroj Kumar; Subhasish Das; Asis Mazumdar; Arunabha Majumder
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TectoView: an open-source web tool for real-time seismotectonic cross-section visualization
deleteEarth Science Informatics
IF3
delete2026-07-13
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PREAI
deleteCan Eytemi̇z
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Machine learning enhances research on the classification of oceanic basalt
deleteEarth Science Informatics
IF3
delete2026-07-10
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PREAI
deleteHaobin Xu; Juanjuan Kong; Yao Ma
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Variational Autoencoders for P-wave detection on strong motion earthquake spectrograms
deleteEarth Science Informatics
IF3
delete2026-07-09
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PREAI
deleteTurkan Simge Ispak; Salih Tileylioglu; Erdem Akagunduz
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