Zobrazeno 1 - 10
of 1 073
pro vyhledávání: '"Liu Junqi"'
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 4, Pp 41-49 (2024)
The existing hydraulic support attitude monitoring methods have the problems of incomplete measurement parameters, low precision and reliability, and poor adaptability to working conditions. In order to solve the above problems, a key attitude parame
Externí odkaz:
https://doaj.org/article/8856f8ab04d5484ab83c1396eb20d827
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0302978 (2024)
This study investigates the impact of digital finance on corporate leverage ratios. The study employed a large sample of China's Shanghai and Shenzhen A-share non-financial listed enterprises from 2011-2020. The study's results depict that the develo
Externí odkaz:
https://doaj.org/article/5ff2a17a0bfc49668fb275dbef684ecd
Just Recognizable Difference (JRD) represents the minimum visual difference that is detectable by machine vision, which can be exploited to promote machine vision oriented visual signal processing. In this paper, we propose a Deep Transformer based J
Externí odkaz:
http://arxiv.org/abs/2411.09308
Designing novel proteins that bind to small molecules is a long-standing challenge in computational biology, with applications in developing catalysts, biosensors, and more. Current computational methods rely on the assumption that the binding pose o
Externí odkaz:
http://arxiv.org/abs/2409.12080
The modeling of environmental ecosystems plays a pivotal role in the sustainable management of our planet. Accurate prediction of key environmental variables over space and time can aid in informed policy and decision-making, thus improving people's
Externí odkaz:
http://arxiv.org/abs/2404.01165
Autor:
Liu Junqi
Publikováno v:
ITM Web of Conferences, Vol 47, p 01029 (2022)
With the increasing development of marine science and technology, autonomous underwater robots have become a hot spot in the field of underwater research and applications, and have been widely used in deep-sea scientific research, marine resources re
Externí odkaz:
https://doaj.org/article/ffd05ccab92d4b89ae09053def41d60a
Autor:
Guo, Zhiyuan, Liu, Shuang, Zhou, Bing, Liu, Junqi, Wang, Haiyang, Wan, Yang, Pi, Yifei, Wang, Xiaoyan, Mo, Yingyi, Guo, Bo, Hua, Jianfei, Lu, Wei
Radiotherapy using very-high-energy electron (VHEE) beams (50-300 MeV) has attracted considerable attention due to its advantageous dose deposition characteristics, enabling deep penetration and the potential for ultra-high dose rate treatment. One p
Externí odkaz:
http://arxiv.org/abs/2312.03481
Autor:
Filip, Andrei1 (AUTHOR) a.filip@ieseg.fr, Liu, Junqi2 (AUTHOR), Moraru-Arfire, Andreea3 (AUTHOR)
Publikováno v:
Journal of Accounting, Auditing & Finance. Jul2024, Vol. 39 Issue 3, p754-785. 32p.
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 8, pp. 3222-3248.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-04-2022-0364
Contrastive learning has shown great potential in video representation learning. However, existing approaches fail to sufficiently exploit short-term motion dynamics, which are crucial to various down-stream video understanding tasks. In this paper,
Externí odkaz:
http://arxiv.org/abs/2208.06105