Zobrazeno 1 - 10
of 1 688
pro vyhledávání: '"PANG Jing"'
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 9, Pp 148-157 (2023)
Considering that a personal car spends about 95% of its life in parking mode, calendar aging can have a significant impact on battery life. High temperature storage is a common method for rapid evaluation of battery calendar life. In order to obtain
Externí odkaz:
https://doaj.org/article/5366be64519540458394ca6d4bc4c496
Publikováno v:
应用气象学报, Vol 34, Iss 2, Pp 234-245 (2023)
Hail refers to the solid precipitation with a diameter greater than or equal to 5 mm caused by convection. Hail is also one main disastrous weather phenomenon in eastern Hubei, while Doppler weather radar is the most favorable tool for hail identific
Externí odkaz:
https://doaj.org/article/520eff45439a4c77abb2aeb311f4f2b4
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 10, Pp 93-101 (2022)
With the development of electric vehicles, higher requirements for battery energy density are put forward. High nickel/SiOx-C batteries with high energy density have become the first choice for long-range electric vehicles. However, high nickel/SiOx-
Externí odkaz:
https://doaj.org/article/e5e5ba00972a47b1af91250f04b5c4a4
Publikováno v:
Open Physics, Vol 20, Iss 1, Pp 963-976 (2022)
In this article, various exact solutions of the fifth-order variable coefficient KdV equation with higher-order dispersion term are studied. Because of the complexity of the exact solution of the variable coefficient t, it has a certain influence on
Externí odkaz:
https://doaj.org/article/449d76a5d70e4954bea236eb275a3ffe
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 1, Pp 67-79 (2022)
With the increasing demand for lithium-ion batteries, lithium-ion batteries with high energy density and high power density have become one of the research hotspots. Material modification and new material development can effectively increase the ener
Externí odkaz:
https://doaj.org/article/f9963c18d22f4ae9bf9fafedb36a2a29
Reinforcement Learning (RL) empowers agents to acquire various skills by learning from reward signals. Unfortunately, designing high-quality instance-level rewards often demands significant effort. An emerging alternative, RL with delayed reward, foc
Externí odkaz:
http://arxiv.org/abs/2410.20176
Autor:
Pang, Jing-Cheng, Yang, Si-Hang, Li, Kaiyuan, Zhang, Jiaji, Chen, Xiong-Hui, Tang, Nan, Yu, Yang
Reinforcement learning (RL) trains agents to accomplish complex tasks through environmental interaction data, but its capacity is also limited by the scope of the available data. To obtain a knowledgeable agent, a promising approach is to leverage th
Externí odkaz:
http://arxiv.org/abs/2404.09248
Publikováno v:
Open Life Sciences, Vol 13, Iss 1, Pp 305-311 (2018)
To analyze the application value of apparent diffusion coefficient (ADC) and exponent apparent diffusion coefficient (EADC) in evaluating the efficacy of radiation and chemotherapy in cervical cancer using pre- and posttreatment diffusion-weighted ma
Externí odkaz:
https://doaj.org/article/86834fd5a40749d4aa35571c3504ad3e
Autor:
Pang, Jing-Cheng, Fan, Heng-Bo, Wang, Pengyuan, Xiao, Jia-Hao, Tang, Nan, Yang, Si-Hang, Jia, Chengxing, Huang, Sheng-Jun, Yu, Yang
The rise of large language models (LLMs) has revolutionized the way that we interact with artificial intelligence systems through natural language. However, LLMs often misinterpret user queries because of their uncertain intention, leading to less he
Externí odkaz:
http://arxiv.org/abs/2402.03719
Autor:
Pang, Jing-Cheng, Wang, Pengyuan, Li, Kaiyuan, Chen, Xiong-Hui, Xu, Jiacheng, Zhang, Zongzhang, Yu, Yang
Large Language Models (LLMs) have exhibited remarkable performance across various natural language processing (NLP) tasks. However, fine-tuning these models often necessitates substantial supervision, which can be expensive and time-consuming to obta
Externí odkaz:
http://arxiv.org/abs/2305.14483