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pro vyhledávání: '"Tao LI"'
In a recent paper [arXiv:1601.02165], Tao Li claimed that a gapped $\mathbb{Z}_2$ spin liquid, obtained using projected Gutzwiller fermionic wave functions, can be stabilized in the Heisenberg model on the kagome lattice. We perform very accurate var
Externí odkaz:
http://arxiv.org/abs/1606.02255
Cognitive diagnosis (CD) utilizes students' existing studying records to estimate their mastery of unknown knowledge concepts, which is vital for evaluating their learning abilities. Accurate CD is extremely challenging because CD is associated with
Externí odkaz:
http://arxiv.org/abs/2411.00845
Akademický článek
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Autor:
Wang, Shengbo, Pei, Jingfang, Li, Cong, Li, Xuemeng, Tao, Li, Nathan, Arokia, Hu, Guohua, Gao, Shuo
Neuromorphic devices, with their distinct advantages in energy efficiency and parallel processing, are pivotal in advancing artificial intelligence applications. Among these devices, memristive transistors have attracted significant attention due to
Externí odkaz:
http://arxiv.org/abs/2408.15140
Autor:
Tao, Li, Xiang, Dong, Junfeng, Hao, Ping, Yin, Xiaoxue, Xu, Maokai, Lai, Yuan, Li, Ting, Peng
Traditional manual driving and single-vehicle-based intelligent driving have limitations in real-time and accurate acquisition of the current driving status and intentions of surrounding vehicles, leading to vehicles typically maintaining appropriate
Externí odkaz:
http://arxiv.org/abs/2407.03187
Autor:
Ye, Zirui, Yao, Bei, Zheng, Haoran, Tao, Li, Wang, Ripeng, Chang, Yankui, Chen, Zhi, Zhao, Yingming, Wei, Wei, Xu, Xie George
Computed tomography (CT) scans are a major source of medical radiation exposure worldwide. In countries like China, the frequency of CT scans has grown rapidly, particularly in routine physical examinations where chest CT scans are increasingly commo
Externí odkaz:
http://arxiv.org/abs/2401.11480
Nowadays, denoising diffusion probabilistic models have been adapted for many image segmentation tasks. However, existing end-to-end models have already demonstrated remarkable capabilities. Rather than using denoising diffusion probabilistic models
Externí odkaz:
http://arxiv.org/abs/2312.01682
Autor:
Steen-Hansen C; Department of Anaesthesiology and Intensive Care, Nordsjaellands Hospital, Hillerød, Denmark., Rothe C; Department of Anaesthesiology and Intensive Care, Nordsjaellands Hospital, Hillerød, Denmark., Kjeldgaard LD; Department of Anaesthesiology and Intensive Care, Holbaek Sygehus, Holbaek, Denmark., Lyngeraa TS; Department of Anaesthesiology and Intensive Care, Nordsjaellands Hospital, Hillerød, Denmark., Lundstrøm LH; Department of Anaesthesiology and Intensive Care, Nordsjaellands Hospital, Hillerød, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Lange KHW; Department of Anaesthesiology and Intensive Care, Nordsjaellands Hospital, Hillerød, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Publikováno v:
Acta anaesthesiologica Scandinavica [Acta Anaesthesiol Scand] 2022 Sep; Vol. 66 (8), pp. 1031-1032. Date of Electronic Publication: 2022 Jul 13.
Publikováno v:
Communications of the ACM. Aug2021, Vol. 64 Issue 8, p21-21. 1p.
Autor:
Wenbo Shang
Publikováno v:
Documentation. 67:247-249
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cec19ac6f55a995ae9041428d5ecd1d
https://doi.org/10.7202/1092204ar
https://doi.org/10.7202/1092204ar