Zobrazeno 1 - 10
of 2 427
pro vyhledávání: '"Luo Qian"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In order to study the optimization strategy of chemical instrumentation analysis methods, it can make the chemical instrumentation analysis methods more optimized. This paper proposes an improved sparrow search algorithm MSSA based on the ADDIE model
Externí odkaz:
https://doaj.org/article/a2702554fdc3442ab6b275049dc9a09f
Autor:
Luo, Qian, Jenkins, Jesse
Taking aim at one of the largest greenhouse gas emitting sectors, the US Environmental Protection Agency (EPA) finalized new regulations on power plant greenhouse gas emissions in May 2024. These rules take the form of different emissions performance
Externí odkaz:
http://arxiv.org/abs/2409.08093
Publikováno v:
Stem Cell Research, Vol 61, Iss , Pp 102782- (2022)
Spinal cerebellar ataxia type 3 (SCA3), also known as Machado-Joseph disease, is the result of abnormal repeat amplification of CAG of the ATXN3 gene. It is one of the main types of autosomal dominant ataxia, with motor symptoms of cerebellar ataxia,
Externí odkaz:
https://doaj.org/article/51563a876ac54d47b7e34c8a85ac999f
We focus on the self-supervised discovery of manipulation concepts that can be adapted and reassembled to address various robotic tasks. We propose that the decision to conceptualize a physical procedure should not depend on how we name it (semantics
Externí odkaz:
http://arxiv.org/abs/2404.10606
Embodied agents capable of complex physical skills can improve productivity, elevate life quality, and reshape human-machine collaboration. We aim at autonomous training of embodied agents for various tasks involving mainly large foundation models. I
Externí odkaz:
http://arxiv.org/abs/2402.08212
Autor:
Xie, Tianbao, Zhao, Siheng, Wu, Chen Henry, Liu, Yitao, Luo, Qian, Zhong, Victor, Yang, Yanchao, Yu, Tao
Designing reward functions is a longstanding challenge in reinforcement learning (RL); it requires specialized knowledge or domain data, leading to high costs for development. To address this, we introduce Text2Reward, a data-free framework that auto
Externí odkaz:
http://arxiv.org/abs/2309.11489
Publikováno v:
MATEC Web of Conferences, Vol 336, p 06004 (2021)
Human action recognition is a challenging field in recent years. Many traditional signal processing and machine learning methods are gradually trying to be applied in this field. This paper uses a hidden Markov model based on mixed Gaussian to solve
Externí odkaz:
https://doaj.org/article/9302ce86f36e4e2984d5fd89c55f3421
Publikováno v:
Gong-kuang zidonghua, Vol 42, Iss 8, Pp 56-61 (2016)
In view of problems that traditional risk assessment and reliability analysis methods of power grid focused on relay protection reliability indicators and did not involve change of reliability and actual risk in operation of relay protection device,
Externí odkaz:
https://doaj.org/article/f419e1af0e5945399a4dc1f1b89a1b8d
Publikováno v:
Cailiao gongcheng, Vol 44, Iss 7, Pp 32-36 (2016)
The shell mold-HIP forming process of TC4 pre-alloyed powder was investigated. The shrinkage of the molding part was revealed, and the microstructure and tensile property of the alloy as well as the interface between the alloy and mold were analyzed.
Externí odkaz:
https://doaj.org/article/b8d8376cf9984c02bd264819ffde84ab
Grounded understanding of natural language in physical scenes can greatly benefit robots that follow human instructions. In object manipulation scenarios, existing end-to-end models are proficient at understanding semantic concepts, but typically can
Externí odkaz:
http://arxiv.org/abs/2303.17919