Zobrazeno 1 - 10
of 13 643
pro vyhledávání: '"shi, Ying"'
Autor:
Liu, Liangyang, Li, Yidian, Tan, Hengxin, Liu, Yi, Shi, Ying, Zhai, Yuxin, Lin, Hao, Cao, Guanghan, Yan, Binghai, Zhang, Guang-Ming, Yang, Luyi
The correlated phenomena of flat bands have been extensively studied in twisted systems. However, the emergent ordered states arising from interactions in intrinsic multi-orbital flat bands in kagome lattice materials remain largely unexplored. In co
Externí odkaz:
http://arxiv.org/abs/2411.06778
Few-shot keyword spotting (KWS) aims to detect unknown keywords with limited training samples. A commonly used approach is the pre-training and fine-tuning framework. While effective in clean conditions, this approach struggles with mixed keyword spo
Externí odkaz:
http://arxiv.org/abs/2407.06078
Serialized Output Training (SOT) has showcased state-of-the-art performance in multi-talker speech recognition by sequentially decoding the speech of individual speakers. To address the challenging label-permutation issue, prior methods have relied o
Externí odkaz:
http://arxiv.org/abs/2407.03966
Autor:
Kong, Guilan, Wu, Jingyi, Chu, Hong, Yang, Chao, Lin, Yu, Lin, Ke, Shi, Ying, Wang, Haibo, Zhang, Luxia
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e17886 (2021)
BackgroundThe increasing number of patients treated with peritoneal dialysis (PD) and their consistently high rate of hospital admissions have placed a large burden on the health care system. Early clinical interventions and optimal management of pat
Externí odkaz:
https://doaj.org/article/e3a4f99a74f146ff91c7d7e2ce390011
This paper investigates the possibility of extracting a target sentence from multi-talker speech using only a keyword as input. For example, in social security applications, the keyword might be "help", and the goal is to identify what the person who
Externí odkaz:
http://arxiv.org/abs/2310.05352
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract To efficiently realize the parallel task scheduling of SaaS platform in large-scale cloud service environment, this paper studies the parallel task scheduling algorithm of SaaS platform based on dynamic adaptive particle swarm optimization i
Externí odkaz:
https://doaj.org/article/ac0a77df02fa46b497f4ac953be6767c
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Augmented reality (AR) technology involving head-mounted displays (HMD) represents a significant innovation in medical education, particularly for training in guided invasive procedures. Novice physicians often face challenges in
Externí odkaz:
https://doaj.org/article/c2a5a5d0cff14f1aa6a2191e6dc10995
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Sleep and physical activity (PA) are thought to be interconnected with the development of rheumatoid arthritis (RA). However, the precise nature and extent of these relationships have yet to be fully quantified. This study aimed t
Externí odkaz:
https://doaj.org/article/b08f3523dcf14ce5b972437ae0a7ac49
Publikováno v:
Open House International, 2023, Vol. 49, Issue 4, pp. 791-817.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OHI-09-2023-0207
This paper is devoted to revealing the relationship between matrix-valued $\theta$-deformed bi-orthogonal polynomials and non-commutative Toda-type hierarchies. In this procedure, Wronski quasi-determinants are widely used and play the role of non-co
Externí odkaz:
http://arxiv.org/abs/2305.17962