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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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    “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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  6. 706

    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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    Demystifying perception and decision-making in peer review: a semantic perspective by Yujie Zhang, Weikang Yuan, Zhuoren Jiang

    Published 2025-03-01
    “…Perceived clarity, replicability, and meaningful comparison have a relatively minor role in the review process. Conclusions. Our study highlights the decision-making process based on reviewers’ perceptions and uncovers perceptual differences between reviewers and chairs. …”
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    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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    A Social Media Sentiment Analysis Using Machine Learning Approaches by Noor Salah Irzooqi Al-Agele, Didem KIVANÇ TÜRELİ

    Published 2025-08-01
    “…With consideration for the most suitable models for precisely classifying sentiments within social media data, this study aims to evaluate the efficacy of machine learning algorithms in analyzing sentiment text that people post or comment on Twitter, thus bridging the research gap in the analysis of sentiment in an understudied domain. a set of machine learning algorithms was applied along with feature extraction methods, including TF-IDF and Natural Language Processing (NLP). …”
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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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    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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