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Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.

Ergebnis der Suche nach: "Machine Learning"
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	61	Ten years of hydrometeorological observations at 10-minute resolution and its application in machine learning hydrological models Enthalten in Earth system science data discussions 27.01.2026: 1-20. 20 S.
	62	Defining chemical problems for artificial intelligence models Enthalten in Taehan-Hwahakhoe: Bulletin of the Korean Chemical Society 25.01.2026. 11 S.
	63	Generative Design for Alloys: Harnessing Generative Models for Faster Discovery Enthalten in Advanced materials 24.01.2026. 24 S.
	64	Surface/Interface Design Strategies for Highly Efficient Electrocatalysts: Progress and Perspectives Enthalten in Small 23.01.2026. 22 S.
	65	End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips Enthalten in Advanced Materials Technologies 21.01.2026. 38 S.
	66	Predicting streamflow drought in the conterminous United States using machine learning and a donor-gage approach, 1982–2020 Enthalten in EGUsphere 21.01.2026: 1-33. 33 S.
	67	Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics Enthalten in Advanced science 20.01.2026. 27 S.
	68	Chemiresistive Gas Sensors: Materials, Mechanisms, and Applications on the Road to Intelligence and Multifunctionality Enthalten in Small 20.01.2026. 49 S.
	69	Machine Learning‐Guided Design of Electrolytes for Rechargeable Batteries Enthalten in Advanced Materials Technologies 20.01.2026. 19 S.
	70	Interpretable Prediction of Mechanical Properties for Hot‐Rolled Seamless Steel Pipes: Combining Machine Learning with Shapley Additive Explanation Enthalten in Steel research international 19.01.2026. 13 S.

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