Zobrazeno 1 - 10
of 662
pro vyhledávání: '"CHEN Minghao"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 7, Pp 822-829 (2024)
Diabetic retinopathy (DR) is one of the most common microvascular complications of diabetes and has become one of the leading causes of blindness and visual impairment in diabetes patients. The pathogenesis of DR is multifaceted, involving inflammati
Externí odkaz:
https://doaj.org/article/d64f21b5c6d34c019711b9b8ba2d166f
Publikováno v:
E3S Web of Conferences, Vol 577, p 01008 (2024)
Microalgae have emerged as a promising feedstock for biofuels and high-value compounds, offering potential solutions to global energy and resource challenges. This comprehensive review examines the latest advancements in microalgae cultivation techno
Externí odkaz:
https://doaj.org/article/66ea1f0e60f244ac9236530730c1d746
Publikováno v:
E3S Web of Conferences, Vol 536, p 01023 (2024)
Urban areas face significant environmental challenges, notably rainwater management and the urban heat island effect. As sustainable ecological infrastructures, Green roofs provide dual benefits in addressing these issues. The literature review thoro
Externí odkaz:
https://doaj.org/article/0f062d0e767a4bd99959afd4abe4e83d
Publikováno v:
Meikuang Anquan, Vol 52, Iss 11, Pp 205-210 (2021)
Taking Daliuta Mine as the engineering background, the law of surface movement and subsidence observation in Daliuta Mine was studied by using numerical simulation method and field data analysis. The numerical simulation analysis shows that the rapid
Externí odkaz:
https://doaj.org/article/c8ed404550d446d0bc3f0b56311f3fc6
Autor:
Yang, Yanting, Chen, Minghao, Qiu, Qibo, Wu, Jiahao, Wang, Wenxiao, Lin, Binbin, Guan, Ziyu, He, Xiaofei
For a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and planning for such robotic agents is a generalizable reward function. Recen
Externí odkaz:
http://arxiv.org/abs/2407.14872
Large Language Models (LLM) based agents have shown promise in autonomously completing tasks across various domains, e.g., robotics, games, and web navigation. However, these agents typically require elaborate design and expert prompts to solve tasks
Externí odkaz:
http://arxiv.org/abs/2405.16247
Autor:
Zhang, Zhanwei, Chen, Minghao, Xiao, Shuai, Peng, Liang, Li, Hengjia, Lin, Binbin, Li, Ping, Wang, Wenxiao, Wu, Boxi, Cai, Deng
Recent self-training techniques have shown notable improvements in unsupervised domain adaptation for 3D object detection (3D UDA). These techniques typically select pseudo labels, i.e., 3D boxes, to supervise models for the target domain. However, t
Externí odkaz:
http://arxiv.org/abs/2404.19384
Predicting future trajectories of traffic agents accurately holds substantial importance in various applications such as autonomous driving. Previous methods commonly infer all future steps of an agent either recursively or simultaneously. However, t
Externí odkaz:
http://arxiv.org/abs/2404.19330
We consider the problem of editing 3D objects and scenes based on open-ended language instructions. A common approach to this problem is to use a 2D image generator or editor to guide the 3D editing process, obviating the need for 3D data. However, t
Externí odkaz:
http://arxiv.org/abs/2404.18929
Autor:
Chen, Minghao
With the rapid advancement of technology, the recognition of underwater acoustic signals in complex environments has become increasingly crucial. Currently, mainstream underwater acoustic signal recognition relies primarily on time-frequency analysis
Externí odkaz:
http://arxiv.org/abs/2312.13143