Zobrazeno 1 - 10
of 2 309
pro vyhledávání: '"Jiang Jingjing"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 5, Pp 1124-1130 (2024)
Vascular cognitive impairment (VCI) denotes a wide range of cognitive deficiencies resulting from cerebrovascular risk factors and cerebrovascular diseases. Sirtuin 1 (SIRT1), as a deacetylase, can mediate the deacetylation of histones and non-histon
Externí odkaz:
https://doaj.org/article/6c07c27abc0d471abb0128e533dc53f8
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 5, Pp 1072-1075 (2023)
This paper reports a case of Kagami-Ogata syndrome in a preterm infant with gestational age of 30 weeks. Prenatal ultrasonography suggested excess amniotic fluid, large biparietal diameter and abdominal circumference, and widening of the lateral vent
Externí odkaz:
https://doaj.org/article/38f759c725ea44728b27201ac175153d
Autonomous Emergency Braking (AEB) potentially brings significant improvements in automotive safety due to its ability to autonomously prevent collisions in situations where the driver may not be able to do so. Driven by the poor performance of the s
Externí odkaz:
http://arxiv.org/abs/2402.10761
This paper proposes a comprehensive hierarchical control framework for autonomous decision-making arising in robotics and autonomous systems. In a typical hierarchical control architecture, high-level decision making is often characterised by discret
Externí odkaz:
http://arxiv.org/abs/2401.06833
Autor:
Hirai, Ryu, Iizuka, Shinya, Iseno, Haruhisa, Guo, Ao, Jiang, Jingjing, Ohashi, Atsumoto, Higashinaka, Ryuichiro
At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take more natural turns based on user utterance texts. Our system generated
Externí odkaz:
http://arxiv.org/abs/2312.13816
The ability to understand spatial-temporal patterns for crowds of people is crucial for achieving long-term autonomy of mobile robots deployed in human environments. However, traditional historical data-driven memory models are inadequate for handlin
Externí odkaz:
http://arxiv.org/abs/2311.14411
Motion forecasting plays a crucial role in autonomous driving, with the aim of predicting the future reasonable motions of traffic agents. Most existing methods mainly model the historical interactions between agents and the environment, and predict
Externí odkaz:
http://arxiv.org/abs/2311.04512
Anti-lock Brake System (ABS) is a mandatory active safety feature on road vehicles with analogous systems for aircraft and locomotives. This feature aims to prevent locking of the wheels when braking and to improve the handling performance, as well a
Externí odkaz:
http://arxiv.org/abs/2306.14730
Autor:
Jiang, Jingjing, Zheng, Nanning
Recently, finetuning pretrained Vision-Language Models (VLMs) has been a prevailing paradigm for achieving state-of-the-art performance in Visual Question Answering (VQA). However, as VLMs scale, finetuning full model parameters for a given task in l
Externí odkaz:
http://arxiv.org/abs/2303.01239
Autor:
Hu, Jincheng, Lin, Yang, Li, Jihao, Hou, Zhuoran, Zhao, Dezong, Zhou, Quan, Jiang, Jingjing, Zhang, Yuanjian
Reinforcement learning-based (RL-based) energy management strategy (EMS) is considered a promising solution for the energy management of electric vehicles with multiple power sources. It has been shown to outperform conventional methods in energy man
Externí odkaz:
http://arxiv.org/abs/2212.09154