Zobrazeno 1 - 10
of 833
pro vyhledávání: '"Li Yimeng"'
Autor:
Sun Ruidong, He Shijin, Qi Yuwei, Li Yimeng, Zhou Xiaohang, Liu Ying, Liu Xihang, Ding Mingyang, Lv Xiangling, Li Fenghai
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Tassel branch number is an important agronomic trait that is closely associated with maize kernels and yield. The regulation of genes associated with tassel branch development can provide a theoretical basis for analyzing tassel branch growth and imp
Externí odkaz:
https://doaj.org/article/b720d411bb44447e82b58a712403f2d6
Autor:
Liu, Jinhao, Yang, Jun, Mao, Jianliang, Zhu, Tianqi, Xie, Qihang, Li, Yimeng, Wang, Xiangyu, Li, Shihua
A flexible active safety motion (FASM) control approach is proposed for the avoidance of dynamic obstacles and the reference tracking in robot manipulators. The distinctive feature of the proposed method lies in its utilization of control barrier fun
Externí odkaz:
http://arxiv.org/abs/2405.12408
Autor:
Meng, Guodong, Li, Yimeng, Koitermaa, Roni Aleksi, Zadin, Veronika, Cheng, Yonghong, Kyritsakis, Andreas
Nano-protrusion (NP) on metal surface and its inevitable contamination layer under high electric field is often considered as the primary precursor that leads to vacuum breakdown, which plays an extremely detrimental effect for high energy physics eq
Externí odkaz:
http://arxiv.org/abs/2403.11794
The image annotation stage is a critical and often the most time-consuming part required for training and evaluating object detection and semantic segmentation models. Deployment of the existing models in novel environments often requires detecting n
Externí odkaz:
http://arxiv.org/abs/2311.10883
In recent years several learning approaches to point goal navigation in previously unseen environments have been proposed. They vary in the representations of the environments, problem decomposition, and experimental evaluation. In this work, we comp
Externí odkaz:
http://arxiv.org/abs/2212.08801
We consider the problem of time-limited robotic exploration in previously unseen environments where exploration is limited by a predefined amount of time. We propose a novel exploration approach using learning-augmented model-based planning. We gener
Externí odkaz:
http://arxiv.org/abs/2211.07898
The ability to endow maps of indoor scenes with semantic information is an integral part of robotic agents which perform different tasks such as target driven navigation, object search or object rearrangement. The state-of-the-art methods use Deep Co
Externí odkaz:
http://arxiv.org/abs/2210.01884
This study develops a framework for unmanned aerial systems (UASs) to monitor fall hazard prevention systems near unprotected edges and openings in high-rise building projects. A three-step machine-learning-based framework was developed and tested to
Externí odkaz:
http://arxiv.org/abs/2209.13137
Autor:
Xu, Ru, Chen, Peng, Zhou, Jing, Li, Yimeng, Li, Yuyin, Zhu, Tinggang, Chen, Dunjun, Xie, Zili, Ye, Jiandong, Xiu, Xiangqian, Zhang, Rong, Zheng, Youdou
In this letter, we demonstrate a lateral AlGaN/GaN Schottky barrier diode (SBD) on sapphire substrate with low turn-on voltage (Von) and high breakdown voltage (VBK). By using a double barrier anode (DBA) structure formed by the mixture of Platinum (
Externí odkaz:
http://arxiv.org/abs/2206.07881
Publikováno v:
In International Journal of Biological Macromolecules November 2024 279 Part 4