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pro vyhledávání: '"DAI, Li"'
The multi-view hash method converts heterogeneous data from multiple views into binary hash codes, which is one of the critical technologies in multimedia retrieval. However, the current methods mainly explore the complementarity among multiple views
Externí odkaz:
http://arxiv.org/abs/2312.07327
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 8, Pp 1411-1417 (2024)
AIM: To prevent neovascularization in diabetic retinopathy (DR) patients and partially control disease progression. METHODS: Hypoxia-related differentially expressed genes (DEGs) were identified from the GSE60436 and GSE102485 datasets, followed by g
Externí odkaz:
https://doaj.org/article/4426b31011c644eca2cc0ed0b6aa9df3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study aimed to investigate the association between serum chloride levels and all-cause mortality in critically ill patients with chronic obstructive pulmonary disease (COPD). Data from the Medical Information Mart for Intensive Care IV
Externí odkaz:
https://doaj.org/article/4b88fb64b1724a24ab1b96abb3108082
Autor:
Shi, Mohan, Du, Zhihao, Chen, Qian, Yu, Fan, Li, Yangze, Zhang, Shiliang, Zhang, Jie, Dai, Li-Rong
Recently, speaker-attributed automatic speech recognition (SA-ASR) has attracted a wide attention, which aims at answering the question ``who spoke what''. Different from modular systems, end-to-end (E2E) SA-ASR minimizes the speaker-dependent recogn
Externí odkaz:
http://arxiv.org/abs/2305.12459
For speech interaction, voice activity detection (VAD) is often used as a front-end. However, traditional VAD algorithms usually need to wait for a continuous tail silence to reach a preset maximum duration before segmentation, resulting in a large l
Externí odkaz:
http://arxiv.org/abs/2305.12450
Autor:
Zeng, Xiao-Min, Song, Yan, Zhuo, Zhu, Zhou, Yu, Li, Yu-Hong, Xue, Hui, Dai, Li-Rong, McLoughlin, Ian
In this paper, we propose a joint generative and contrastive representation learning method (GeCo) for anomalous sound detection (ASD). GeCo exploits a Predictive AutoEncoder (PAE) equipped with self-attention as a generative model to perform frame-l
Externí odkaz:
http://arxiv.org/abs/2305.12111
Autor:
Dai, Li, Paik, Yongsun
Publikováno v:
Multinational Business Review, 2024, Vol. 32, Issue 1, pp. 98-115.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MBR-12-2022-0202
In this paper, we propose an effective sound event detection (SED) method based on the audio spectrogram transformer (AST) model, pretrained on the large-scale AudioSet for audio tagging (AT) task, termed AST-SED. Pretrained AST models have recently
Externí odkaz:
http://arxiv.org/abs/2303.03689
Publikováno v:
Xin yixue, Vol 55, Iss 5, Pp 354-359 (2024)
Objective To investigate the role of ultrasound-guided volume resuscitation in the treatment of severe trauma. Methods Sixty patients with severe trauma requiring surgical intervention were included and randomly assigned into the ultrasound-guided vo
Externí odkaz:
https://doaj.org/article/81c6e276365745e0b72ed511ccedd3f6
Publikováno v:
ACS Omega, Vol 9, Iss 19, Pp 21116-21126 (2024)
Externí odkaz:
https://doaj.org/article/edba6d2984ea482d9d2b4d54c84df926