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GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features.

• Authors : Ohmer, Marc¹ (AUTHOR) ; Liesch, Tanja¹ (AUTHOR); Habbel, Bastian¹ (AUTHOR)

• Source: Earth System Science Data. 2026, Vol. 18 Issue 1, p77-95. 19p.

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Farm-Specific Effects in Predicting Mastitis by Applying Machine Learning Models to Automated Milking System and Other Farm Management Data.

• Authors : Dharejo, Muhammad N.¹ (AUTHOR) ; Kashongwe, Olivier² (AUTHOR); Amon, Thomas^2,3 (AUTHOR)

• Source: Animals (2076-2615). Oct2025, Vol. 15 Issue 19, p2825. 15p.

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Forecasting Relationship Dissolution: Machine Learning Identifies Key Predictors Across Two Longitudinal Samples.

• Authors : Uhlich, Maximiliane¹ (AUTHOR) ; Impett, Emily A.² (AUTHOR); Spielmann, Stephanie S.³ (AUTHOR)

• Source: European Journal of Personality. May2026, p1.

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'No Words'--Machine-Learning Classified Nonverbal Immediacy and Its Role in Connecting Teacher Self-Efficacy with Perceived Teaching and Student Interest

• Authors : Rebecca Lazarides (ORCID 0000-0003-0392-4981); Jonas Frenkel; Uroš Petkovic

Subjects: Teacher Attitudes; Self Efficacy; Teacher BehaviorGermanyTeaching and Learning International Survey

• Source: British Journal of Educational Psychology. 2025 95(1):15-31.17

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Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.

• Authors : Paddenberg-Schubert E; Department of Orthodontics, University Hospital of Regensburg, University of Regensburg, 93047, Regensburg, Germany.; Midlej K

Subjects: Malocclusion, Angle Class III*/Malocclusion, Angle Class III*/Malocclusion, Angle Class III*/diagnosis ; Malocclusion, Angle Class I*/Malocclusion, Angle Class I*/Malocclusion, Angle Class I*/diagnosis ; Machine Learning*

• Source: Scientific reports [Sci Rep] 2025 Apr 13; Vol. 15 (1), pp. 12738. Date of Electronic Publication: 2025 Apr 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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CBS ve makine öğrenmesi ile elektrikli araç şarj istasyonlarının yer seçimine etki eden kriterlerin belirlenmesi.

• Authors : Mete, Muhammed Oğuzhan¹

• Source: Nigde Omer Halisdemir University Journal of Engineering Sciences / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi. 2025, Vol. 14 Issue 4, p1664-1676. 13p.

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Machine Learning Systems Tuned by Bayesian Optimization to Forecast Electricity Demand and Production.

• Authors : Wang, Zhen¹ (AUTHOR); Lahmiri, Salim^1,2 (AUTHOR); Bekiros, Stelios^1,2 (AUTHOR)

• Source: Algorithms. Nov2025, Vol. 18 Issue 11, p695. 21p.

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Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values.

• Authors : Chu, Lixia^1,2 (AUTHOR) ; Nelen, Jeroen¹ (AUTHOR); Crivellari, Alessandro³ (AUTHOR)

• Source: International Journal of Digital Earth. Jan2024, Vol. 17 Issue 1, p1-17. 17p.

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Unsupervised Machine Learning to Classify Language Dimensions to Constitute the Linguistic Complexity of Mathematical Word Problems

• Authors : Bednorz, David (ORCID 0000-0003-2952-2905); Kleine, Michael (ORCID 0000-0002-9808-9968)

Subjects: Word Problems (Mathematics); Classification; Mathematics InstructionGermany

• Source: International Electronic Journal of Mathematics Education. 2023 18(1).16

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Development of a High-Resolution Indoor Radon Map Using a New Machine Learning-Based Probabilistic Model and German Radon Survey Data.

• Authors : Petermann, Eric¹ ; Bossew, Peter¹; Kemski, Joachim²

Subjects: *Soil testing; *Environmental health; *Environmental exposureGermany

• Source: Environmental Health Perspectives. Sep2024, Vol. 132 Issue 9, p097009-1-097009-16. 16p.

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