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期刊信息/Journal information
Artificial Intelligence in Geosciences

中国科技出版传媒股份有限公司

半年刊

2666-5441

100009

北京市东城区东黄城根北街16号

Artificial Intelligence in Geosciences/Journal 地学人工智能(英文)
《地学人工智能(英文)》(Artificial Intelligence in Geosciences)(一年1卷),由中国科学院主管,中国科技出版传媒股份有限公司主办,是一份涵盖人工智能和地球科学各...展开全部>>
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    2025年02期Issue 02,2025

    Interpretable machine learning models for evaluating strength of ternary geopolymers

    Junfei Zhang;Huisheng Cheng;Ninghui Sun;Zehui Huo;Junlin Chen;P.40-52

    Cellular automata models for simulation and prediction of urban land use change:Development and prospects

    Baoling Gui;Anshuman Bhardwaj;Lydia Sam;P.24-39

    GeoNeXt:Efficient landslide mapping using a pre-trained ConvNeXt V2 encoder with a PSA-ASPP decoder

    Rodrigo Uribe-Ventura;Willem Viveen;Ferdinand Pineda-Ancco;Cesar Beltran-Castanon;P.412-427

    Explaining machine learning models trained to predict Copernicus DEM errors in different land cover environments

    Michael Meadows;Karin Reinke;Simon Jones;P.113-130

    On the application of machine learning algorithms in predicting the permeability of oil reservoirs

    Andrey V.Soromotin;Dmitriy A.Martyushev;Joao Luiz Junho Pereira;P.1-23

    Undrained uplift capacity prediction of open-caisson anchors in anisotropic clays using XGBoost integrated with mutation-based genetic algorithms

    Rungroad Suppakul;Wittaya Jitchaijaroen;Suraparb Keawsawasvong;Sutasinee Intui;Shinya Inazumi;P.467-480

    AI-based approaches for wetland mapping and classification:A review of current practices and future perspectives

    Kai Cheng;Cong Zhang;Yaocheng Fan;Hongli Diao;Shibin Xia;P.452-466

    Identification of major minerals in igneous rock microscopic images from thin sections through deep neural network analysis

    Kouadio Krah;Sie Ouattara;Gbele Ouattara;Marc Euphrem Allialy;Alain Clement;P.441-451

    Opportunities,epistemological assessment and potential risks of machine learning applications in volcano science

    MónicaÁgreda-López;Maurizio Petrelli;P.428-440

    Unveiling climate-driven water surface dynamics in the largest tropical lake in Borneo:A machine learning approach using multi-source satellite imagery

    Mohamad Rifai;Harintaka;P.398-411