cumber
发表于 2025-3-28 15:56:27
Gerard Pons,Miona Dimic,Besim Bilalli with a clear and deep understanding of TEM, the essential tThis text is a companion volume to .Transmission Electron Microscopy: A Textbook for Materials Science. by Williams and Carter. The aim is to extend the discussion of certain topics that are either rapidly changing at this time or that woul
歌曲
发表于 2025-3-28 20:10:28
Márcia Jacobina Andrade Martins,Claudia Bauzer Medeirosng the processing-structure-prop croscopist in order to do the job properly: crystallography, erties links down to atomistic levels. It now is even possible diffraction, image contrast, inelastic scattering events, and to tailor the microstructure (and meso structure ) of materials spectroscopy. Re
有法律效应
发表于 2025-3-28 23:01:10
Tiago Toledo Junior,Diego Raphael Amancio,Roseli Aparecida F. Romerong the processing-structure-prop croscopist in order to do the job properly: crystallography, erties links down to atomistic levels. It now is even possible diffraction, image contrast, inelastic scattering events, and to tailor the microstructure (and meso structure ) of materials spectroscopy. Re
百灵鸟
发表于 2025-3-29 05:48:36
Mirian Halfeld-Ferrari,Anne-Lyse Minard,Genoveva Vargas-Solarng the processing-structure-prop croscopist in order to do the job properly: crystallography, erties links down to atomistic levels. It now is even possible diffraction, image contrast, inelastic scattering events, and to tailor the microstructure (and meso structure ) of materials spectroscopy. Re
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发表于 2025-3-29 08:34:51
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LAVA
发表于 2025-3-29 19:09:03
Entity Matching with Large Language Models as Weak and Strong Labellersrong LLM provides labels with better precision, but greatly increased cost. To address this, we develop a technique capable of intelligently allocating labels between strong and weak LLM labellers to maximise performance within the given budget. We show that, given a small amount of already labelled
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Lacunar-Stroke
发表于 2025-3-30 00:53:37
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figure
发表于 2025-3-30 07:59:46
1865-0929Personalization and Recommender Systems (PERS 2024); Access methods and query processing; discovery and data analysis; Machine Learning; large language models; and tutorials. .978-3-031-70420-8978-3-031-70421-5Series ISSN 1865-0929 Series E-ISSN 1865-0937