Zobrazeno 1 - 10
of 2 031
pro vyhledávání: '"Wan Qian"'
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 03, Pp 239-245 (2023)
Deuterium (2H) magnetic resonance imaging is an emerging molecular metabolic imaging method that can visualize the metabolic pathway in vivo, and therefore has great potential in clinical applications such as cancer detection. In this work, we aimed
Externí odkaz:
https://doaj.org/article/fb9da0bb95af468cb0136d29eec4e030
Publikováno v:
Polish Maritime Research, Vol 30, Iss 2, Pp 11-27 (2023)
This paper utilised computational fluid dynamics (CFD) technology to calculate the resistance of a novel high-speed quadramaran in calm water using the Navier‒Stokes (N‒S) equation, analysed the total resistance, frictional resistance, and residu
Externí odkaz:
https://doaj.org/article/6431f45810e74c7791ca5f86ce123a7b
Publikováno v:
IEEE Access, Vol 11, Pp 120209-120221 (2023)
Vehicles often face congestion at airport curbsides because private vehicles, taxis, and ride-hailing vehicles compete for limited space while dropping off passengers. This competition may lead to blockages and long dwell times, thus worsening the co
Externí odkaz:
https://doaj.org/article/57d65225d1464768b4dce9643bfa0c03
Publikováno v:
IEEE Access, Vol 10, Pp 81476-81491 (2022)
The accessibility of online teaching makes it popular in various teaching scenarios. Most of these researches about online interaction mainly focuse on the communication network stability, facial expression/gesture recognition algorithm and statistic
Externí odkaz:
https://doaj.org/article/deb1d46c1f0142349c2f445edd60cdab
Autor:
Xie, Yakun, Liu, Suning, Chen, Hongyu, Cao, Shaohan, Zhang, Huixin, Feng, Dejun, Wan, Qian, Zhu, Jun, Zhu, Qing
Despite significant advancements in salient object detection(SOD) in optical remote sensing images(ORSI), challenges persist due to the intricate edge structures of ORSIs and the complexity of their contextual relationships. Current deep learning app
Externí odkaz:
http://arxiv.org/abs/2410.23991
Autor:
Hu, Siying, Yuan, Xiangzhe, Wang, Jiajun, Wang, Piaohong, Ma, Jian, Wu, Zhiyang, Wan, Qian, Lu, Zhicong
Sports highlights are becoming increasingly popular on video-sharing platforms. Yet, crafting sport highlight videos is challenging, which requires producing engaging narratives from different angles, and conforming to different platform affordances
Externí odkaz:
http://arxiv.org/abs/2409.13443
Autor:
Liu, Sannyuya, Feng, Jintian, Yang, Zongkai, Luo, Yawei, Wan, Qian, Shen, Xiaoxuan, Sun, Jianwen
The automatic generation of high-quality mathematical problems is practically valuable in many educational scenarios. Large multimodal model provides a novel technical approach for the mathematical problem generation because of its wide success in cr
Externí odkaz:
http://arxiv.org/abs/2407.11315
Autor:
Wan, Qian, Zhang, Da-Xin
A well-motivated cosmological hybrid inflation scenario based on no-scale SUGRA is considered. It is demonstrated that an extra suppressed $R$-symmetry breaking term $S^n$ with $n\geq 4$ needs to be included in order to realize successful inflation.
Externí odkaz:
http://arxiv.org/abs/2407.05702
Autor:
Song, Shezheng, Li, Shasha, Zhao, Shan, Wang, Chengyu, Li, Xiaopeng, Yu, Jie, Wan, Qian, Ma, Jun, Yan, Tianwei, Ma, Wentao, Mao, Xiaoguang
Multimodal aspect-based sentiment analysis (MABSA) aims to understand opinions in a granular manner, advancing human-computer interaction and other fields. Traditionally, MABSA methods use a joint prediction approach to identify aspects and sentiment
Externí odkaz:
http://arxiv.org/abs/2406.00017
Because of its use in practice, open-world object detection (OWOD) has gotten a lot of attention recently. The challenge is how can a model detect novel classes and then incrementally learn them without forgetting previously known classes. Previous a
Externí odkaz:
http://arxiv.org/abs/2404.00257