Zobrazeno 1 - 10
of 761
pro vyhledávání: '"Si, Xu"'
Seismic geobody interpretation is crucial for structural geology studies and various engineering applications. Existing deep learning methods show promise but lack support for multi-modal inputs and struggle to generalize to different geobody types o
Externí odkaz:
http://arxiv.org/abs/2409.04962
Autor:
Li, Fan, Si, Xu, Tang, Shisong, Wang, Dingmin, Han, Kunyan, Han, Bing, Zhou, Guorui, Song, Yang, Chen, Hechang
The diversity of recommendation is equally crucial as accuracy in improving user experience. Existing studies, e.g., Determinantal Point Process (DPP) and Maximal Marginal Relevance (MMR), employ a greedy paradigm to iteratively select items that opt
Externí odkaz:
http://arxiv.org/abs/2406.09021
Humans commonly work with multiple objects in daily life and can intuitively transfer manipulation skills to novel objects by understanding object functional regularities. However, existing technical approaches for analyzing and synthesizing hand-obj
Externí odkaz:
http://arxiv.org/abs/2401.08399
While computer science has seen remarkable advancements in foundation models, which remain underexplored in geoscience. Addressing this gap, we introduce a workflow to develop geophysical foundation models, including data preparation, model pre-train
Externí odkaz:
http://arxiv.org/abs/2309.02791
Training specific deep learning models for particular tasks is common across various domains within seismology. However, this approach encounters two limitations: inadequate labeled data for certain tasks and limited generalization across regions. To
Externí odkaz:
http://arxiv.org/abs/2309.02320
Earthquake monitoring is vital for understanding the physics of earthquakes and assessing seismic hazards. A standard monitoring workflow includes the interrelated and interdependent tasks of phase picking, association, and location. Although deep le
Externí odkaz:
http://arxiv.org/abs/2306.13918
Autor:
Shuai Chen, Cai-Xia Pei, Si Xu, Hanjie Li, Yi-Shi liu, Yicheng Wang, Cheng Jin, Neta Dean, Xiao-Dong Gao
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract The eukaryotic asparagine (N)-linked glycan is pre-assembled as a fourteen-sugar oligosaccharide on a lipid carrier in the endoplasmic reticulum (ER). Seven sugars are first added to dolichol pyrophosphate (PP-Dol) on the cytoplasmic face of
Externí odkaz:
https://doaj.org/article/21c0b5b4b0ea4b79b4eb009bd7c3fd38
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39845- (2024)
Against the backdrop of rapid globalisation, Chinese students studying abroad face increasing challenges in foreign language learning and adapting to foreign language environments. This study surveyed 712 Chinese students studying abroad and used AMO
Externí odkaz:
https://doaj.org/article/226fa23dd56340c9be0519cb0715d19e
Publikováno v:
SAGE Open, Vol 14 (2024)
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2
Externí odkaz:
https://doaj.org/article/910ae45e4d2e492c8fd16caee465afaf
Autor:
Shugang Cao, Yunfei Zhu, Xiaosan Wu, Jing Du, Si Xu, Ping Cui, Qi Li, Mingwu Xia, Qun Xue, Yanghua Tian
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 4, Pp 905-915 (2024)
Abstract Objective This study aims to explore the frequency and influencing factors of asymptomatic spinal lesions (ASLs) and their impact on subsequent relapses in patients with AQP4‐IgG‐positive NMOSD (AQP4‐NMOSD) in a real‐world setting. M
Externí odkaz:
https://doaj.org/article/085346ca547148f4b3b89db7eb20128b