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    Search for oil deposits in YuS2–3 formations of the Southern part of the Priobskoye field based on a seismogeological model using exchroma<sup>SG</sup> technology by D. A. Kotunov, S. A. Khalilov, D. V. Romanov, S. A. Lyubimov

    Published 2024-11-01
    “…To develop a conceptual geological model of the YuS2–3 formations, which is the most promising part of the Middle Jurassic strata in terms of oil potential, by re-processing and re-interpretation of seismic data for the entire license area performed in 2020. …”
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    Article
  4. 484

    “Hot spots” of geoecological risk and problems of territorial planning by V. B. Svalova

    Published 2022-11-01
    “…Data and maps of hazardous natural and technogenic processes and potential damage to the territories of the Moscow Oblast were used.Results. …”
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  5. 485

    Anthropogenic Effects on Landforms in Gölbaşı District of Ankara by Rumeysa Kumral, Öznur Yazıcı

    Published 2024-12-01
    “…Then, an Impact Distribution Scenario Map was prepared to estimate future anthropogenic geomorphology trends in the field using the analytical hierarchy process (AHP). …”
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  6. 486

    Implications to basin evolution from the interpretation of superficial and buried geological features from remote sensing and magnetic data sets, Lower and Middle Benue Trough, Nig... by E.Y. Yenne, C. Green, T. Torvela

    Published 2024-12-01
    “…The Lower and Middle Benue Trough is an intra-continental rifted basin with most rocks concealed by thick sediments and vegetation. …”
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    Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models by Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey, Tazizur Rahman

    Published 2025-06-01
    “…From them, 18 studies are based on 14 popular machine learning (ML) models to identify the most effective prediction methods. And four of them are more progressive, sophisticated methods including the convolutional neural network (CNN) model, diagnostic autism spectrum disorder (DASD) strategy, Ensemble Diagnosis Methodology (EKNN), and Self-Organizing Maps (SOM). …”
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    One hundred lava flows of Mt. Etna, Italy: July 2019–December 2023 update by Cristina Proietti, Emanuela De Beni, Massimo Cantarero

    Published 2024-12-01
    “…We updated Etna's 1999-2019 map, with the most recent eruptive products, mapping ninety-three lava flows out of the one hundred-five. …”
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  13. 493

    Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India by Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy

    Published 2024-11-01
    “…With machine learning models being the most utilized modeling technique for digital soil mapping (DSM), the implementation of model-based deep learning methods for spatial soil predictions is still under scrutiny. …”
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  14. 494

    Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain by Ali Asghar Rostami, Mohammad Taghi Sattari, Halit Apaydin, Adam Milewski

    Published 2025-03-01
    “…Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. …”
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    The Classification of Soils and Agriculture by I. Yu. Savin

    Published 2016-07-01
    “…In the most of the cases, the practical use of knowledge about the soils is actualized by the use of the soil maps. …”
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    Optimasi AHP dalam mendukung UMKM di Bangka Belitung dalam memanfaatkan E-Commerce by Hilyah Magdalena, Syafrul Irawadi

    Published 2018-04-01
    “…The Indonesian government also seriously supports e-commerce with the issuance of Presidential Regulation No. 74 of 2017 in August 2017 on electronic map of electronic commerce (Road Map E-Commerce) of the Year 2017-2019. …”
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