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211 |
Machine-learning-assisted chemical characterization and optical properties of atmospheric brown carbon in Nanjing, China
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 14: 7619-7645. 27 S.
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212 |
Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 13: 7431-7446. 16 S.
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213 |
An automated approach for developing geohazard inventories using news: integrating natural language processing (NLP), machine learning, and mapping
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 7: 2421-2435. 15 S.
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214 |
Tracing online flood conversations across borders: a watershed-level analysis of geo-social media topics during the 2021 European flood
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 7: 2351-2369. 19 S.
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215 |
Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 7: 2271-2286. 16 S.
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216 |
Machine Learning Estimators: Implementation and Comparison in Python
Enthalten in Computational methods in applied mathematics Bd. 25, 2025, Nr. 1: 153-171. 19 S.
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217 |
Bartok, Larissa/Spörk, Julia/Gleeson, Robin/Krakovsky, Maria/Ledermüller, Karl: Anwendung statistischer und Machine-Learning-Methoden für Fragestellungen zu Studienerfolg. Erfahrungen in den Projekten „Learning Analytics – Studierende im Fokus“ und „PASSt – Predictive Analytics Services für Studienerfolgsmanagement“.
Enthalten in Zeitschrift für Hochschulrecht, Hochschulmanagement und Hochschulpolitik Bd. 24, 2025, Nr. 2: 70-70
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218 |
ChatAnalysis revisited: can ChatGPT undermine privacy in smart homes with data analysis?
Enthalten in i-com Bd. 24, 2025, Nr. 1: 173-187. 15 S.
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219 |
Enhanced bio-adsorbent derived from turnip leaves for crystal violet removal in aqueous solutions: experimental investigation, characterization, and machine learning modeling
Enthalten in International journal of chemical reactor engineering Bd. 23, 2025, Nr. 3: 321-340. 20 S.
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220 |
Design and prediction of high optical density photovoltaic polymers using machine learning-DFT studies
Enthalten in Open physics Bd. 23, 2025, Nr. 1. 14 S.
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