Zobrazeno 1 - 10
of 1 135
pro vyhledávání: '"Li Yuntao"'
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 9, Pp 1374 -1378,1385 (2024)
Objective To analyze their molecular characteristics of microsatellite instability (MSI) by sequencing colorectal cancer patients in Sichuan region. Methods Next generation sequencing (NGS) was used to test 14 239 colon cancer patients from 2017 to 2
Externí odkaz:
https://doaj.org/article/2fc902247fa243c5a19a9d340cf1d239
Publikováno v:
You-qi chuyun, Vol 43, Iss 2, Pp 144-152 (2024)
[Objective] Compared with conventional gas fuel, hydrogen is more susceptible to explosion. Meanwhile, the existence of obstacles notably stimulates hydrogen combustion and accelerates flame propagation, causing more serious consequences of accidents
Externí odkaz:
https://doaj.org/article/0d1c67986b484f37894876bd405bc518
Publikováno v:
IEEE Robotics and Automation Letters (RA-L), 2024
Sampling-based motion planning (SBMP) algorithms are renowned for their robust global search capabilities. However, the inherent randomness in their sampling mechanisms often result in inconsistent path quality and limited search efficiency. In respo
Externí odkaz:
http://arxiv.org/abs/2404.19403
This paper presents three open-source reinforcement learning environments developed on the MuJoCo physics engine with the Franka Emika Panda arm in MuJoCo Menagerie. Three representative tasks, push, slide, and pick-and-place, are implemented through
Externí odkaz:
http://arxiv.org/abs/2312.13788
Graph neural networks (GNNs) have shown promise in addressing graph-related problems, including node classification. However, conventional GNNs assume an even distribution of data across classes, which is often not the case in real-world scenarios, w
Externí odkaz:
http://arxiv.org/abs/2310.08725
Translating natural language queries into SQLs in a seq2seq manner has attracted much attention recently. However, compared with abstract-syntactic-tree-based SQL generation, seq2seq semantic parsers face much more challenges, including poor quality
Externí odkaz:
http://arxiv.org/abs/2306.08368
Autor:
Song, Jian, Liang, Di, Li, Rumei, Li, Yuntao, Wang, Sirui, Peng, Minlong, Wu, Wei, Yu, Yongxin
Transformer-based pre-trained models like BERT have achieved great progress on Semantic Sentence Matching. Meanwhile, dependency prior knowledge has also shown general benefits in multiple NLP tasks. However, how to efficiently integrate dependency p
Externí odkaz:
http://arxiv.org/abs/2210.08471
Transformer-based pre-trained language models such as BERT have achieved remarkable results in Semantic Sentence Matching. However, existing models still suffer from insufficient ability to capture subtle differences. Minor noise like word addition,
Externí odkaz:
http://arxiv.org/abs/2210.03454
Modular design is the foundation of on orbit construction technology of large space facilities in the future.Standard interface is the key technology of modular design of the future space robotic systems and space facilities.This paper presents the d
Externí odkaz:
http://arxiv.org/abs/2209.04307
Forward and backward reaching inverse kinematics (FABRIK) is a heuristic inverse kinematics solver that is gradually applied to manipulators with the advantages of fast convergence and generating more realistic configurations. However, under the high
Externí odkaz:
http://arxiv.org/abs/2209.02532