Zobrazeno 1 - 10
of 10 420
pro vyhledávání: '"Yuanfeng An"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
In order to obtain the optimal geometric structure for sand transport in desert roads, this study fully utilizes the natural sand transport capacity of the desert roads, aiming to reduce occurrences of road damage due to sand burial. The research int
Externí odkaz:
https://doaj.org/article/bba0633fc82c4e12a545e61273f8bf4f
Reliable responses of service chatbots are often achieved by employing retrieval-based methods that restrict answers to a knowledge base comprising predefined question-answer pairs (QA pairs). To accommodate potential variations in how a customer's q
Externí odkaz:
http://arxiv.org/abs/2410.12444
Autor:
Chen, Ying, Wang, Guoan, Ji, Yuanfeng, Li, Yanjun, Ye, Jin, Li, Tianbin, Zhang, Bin, Pei, Nana, Yu, Rongshan, Qiao, Yu, He, Junjun
Despite the progress made by multimodal large language models (MLLMs) in computational pathology, they remain limited by a predominant focus on patch-level analysis, missing essential contextual information at the whole-slide level. The lack of large
Externí odkaz:
http://arxiv.org/abs/2410.11761
Autor:
Li, Shuaimin, Song, Yuanfeng, Chen, Xuanang, Peng, Anni, Wan, Zhuoyue, Zhang, Chen Jason, Wong, Raymond Chi-Wing
Text-to-visualization (text-to-vis) models have become valuable tools in the era of big data, enabling users to generate data visualizations and make informed decisions through natural language queries (NLQs). Despite their widespread application, th
Externí odkaz:
http://arxiv.org/abs/2410.06782
With the growing importance of customer service in contemporary business, recognizing the intents behind service dialogues has become essential for the strategic success of enterprises. However, the nature of dialogue data varies significantly across
Externí odkaz:
http://arxiv.org/abs/2410.06190
Parameterized quantum circuits (PQCs) are crucial for quantum machine learning and circuit synthesis, enabling the practical implementation of complex quantum tasks. However, PQC learning has been largely confined to classical optimization methods, w
Externí odkaz:
http://arxiv.org/abs/2409.20044
Understanding the meaning of infant cries is a significant challenge for young parents in caring for their newborns. The presence of background noise and the lack of labeled data present practical challenges in developing systems that can detect cryi
Externí odkaz:
http://arxiv.org/abs/2409.19689
Autor:
Crépisson, Céline, Amouretti, Alexis, Harmand, Marion, Sanloup, Chrystèle, Heighway, Patrick, Azadi, Sam, McGonegle, David, Campbell, Thomas, Chin, David Alexander, Smith, Ethan, Hansen, Linda, Forte, Alessandro, Gawne, Thomas, Lee, Hae Ja, Nagler, Bob, Shi, YuanFeng, Fiquet, Guillaume, Guyot, François, Makita, Mikako, Benuzzi-Mounaix, Alessandra, Vinci, Tommaso, Miyanishi, Kohei, Ozaki, Norimasa, Pikuz, Tatiana, Nakamura, Hirotaka, Sueda, Keiichi, Yabuuchi, Toshinori, Yabashi, Makina, Wark, Justin S., Polsin, Danae N., Vinko, Sam M.
We present measurements on Fe$_2$O$_3$ amorphization and melt under laser-driven shock compression up to 209(10) GPa via time-resolved in situ x-ray diffraction. At 122(3) GPa, a diffuse signal is observed indicating the presence of a non-crystalline
Externí odkaz:
http://arxiv.org/abs/2408.17204
Autor:
Robredo, Iñigo, Xu, Yuanfeng, Jiang, Yi, Felser, Claudia, Bernevig, B. Andrei, Elcoro, Luis, Regnault, Nicolas, Vergniory, Maia G.
We conducted a high-throughput search for topological magnetic materials on 522 new, experimentally reported commensurate magnetic structures from MAGNDATA, doubling the number of available materials on the Topological Magnetic Materials database. Th
Externí odkaz:
http://arxiv.org/abs/2408.16851
Multi-damage is common in reinforced concrete structures and leads to the requirement of large number of neural networks, parameters and data storage, if convolutional neural network (CNN) is used for damage recognition. In addition, conventional CNN
Externí odkaz:
http://arxiv.org/abs/2408.15513