Zobrazeno 1 - 10
of 1 678
pro vyhledávání: '"ZOU Xin"'
Publikováno v:
矿业科学学报, Vol 9, Iss 4, Pp 641-652 (2024)
Exploring land cover change is very important for the sustainable development of regional land resources. However, there are few studies on land cover change in the construction of Xinjiang electricity transmission energy channel. In this paper, the
Externí odkaz:
https://doaj.org/article/57ac8bfabf34477ca5de8a0e2c4e875b
Autor:
LUO Mengxing, ZOU Xin, GAO Yaxian, WU Xiaocui, YU Fangyou, HU Yang, ZENG Qibing, LIU Zhonghua
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 8, Pp 1017-1023 (2023)
Objective·To investigate the impact of complications on the prognosis and lung injury of patients with tuberculosis..Methods·A retrospective cohort study was used for analysis, to select a total of 450 smear-positive tuberculosis (TB) patients, 323
Externí odkaz:
https://doaj.org/article/7a613e4a065540169ac27ac7e5ce8b84
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Objective: To analyze the phenotypes, genotypes, and the relationship of phenotypes and genotypes for Chinese patients with Bardet-Biedl syndrome (BBS).Methods: The Chinese Wanfang and Weipu data, and PubMed were searched up to December 2022. Patient
Externí odkaz:
https://doaj.org/article/b355a9a4eea044a798aee4fa52d974b4
Publikováno v:
BIO Web of Conferences, Vol 111, p 03009 (2024)
Atrial fibrillation (AF) is a disease of the elderly with high rates of disability and mortality. In order to solve the problems of missed early AF diagnosis and wearable device AF data analysis not fast and accurate enough, this paper uses deep incr
Externí odkaz:
https://doaj.org/article/c20c109bbedb4502a646e95bb5a29689
Multimodal Large Language Models (MLLMs) have emerged as a central focus in both industry and academia, but often suffer from biases introduced by visual and language priors, which can lead to multimodal hallucination. These biases arise from the vis
Externí odkaz:
http://arxiv.org/abs/2410.04780
Autor:
Zou, Xin, Wang, Yizhou, Yan, Yibo, Huang, Sirui, Zheng, Kening, Chen, Junkai, Tang, Chang, Hu, Xuming
Despite their impressive capabilities, Multimodal Large Language Models (MLLMs) are susceptible to hallucinations, especially assertively fabricating content not present in the visual inputs. To address the aforementioned challenge, we follow a commo
Externí odkaz:
http://arxiv.org/abs/2410.03577
This paper presents the Multimodal Analyzing System for Laryngoscope (MASL), a system that combines audio and video data to automatically extract key segments and metrics from laryngeal videostroboscopic videos for clinical assessment. MASL integrate
Externí odkaz:
http://arxiv.org/abs/2409.03597
Hallucination issues persistently plagued current multimodal large language models (MLLMs). While existing research primarily focuses on object-level or attribute-level hallucinations, sidelining the more sophisticated relation hallucinations that ne
Externí odkaz:
http://arxiv.org/abs/2408.09429
Autor:
Lai, Songning, Feng, Ninghui, Gao, Jiechao, Wang, Hao, Sui, Haochen, Zou, Xin, Yang, Jiayu, Chen, Wenshuo, Zhao, Hang, Hu, Xuming, Yue, Yutao
Publikováno v:
IJCAI2024 workshop
The field of time series forecasting has garnered significant attention in recent years, prompting the development of advanced models like TimeSieve, which demonstrates impressive performance. However, an analysis reveals certain unfaithfulness issue
Externí odkaz:
http://arxiv.org/abs/2405.19647
Lossy image compression is essential for Mars exploration missions, due to the limited bandwidth between Earth and Mars. However, the compression may introduce visual artifacts that complicate the geological analysis of the Martian surface. Existing
Externí odkaz:
http://arxiv.org/abs/2404.09433