Zobrazeno 1 - 10
of 571
pro vyhledávání: '"Zhicheng, Li"'
Autor:
Min Qi, Yinfei Liang, Jiangi Zhao, Tingting Huang, Shuqi Zhang, Lingwei Li, Xiangli Zeng, Zhicheng Li
Publikováno v:
Journal of International Advanced Otology, Vol 20, Iss 1, Pp 57-61 (2024)
Externí odkaz:
https://doaj.org/article/cb8b431f36964337a82696845908cbd9
Energy‐efficiency optimization and control for electric vehicle platooning with regenerating braking
Autor:
Zhicheng Li, Yang Wang
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 2, Pp 203-217 (2024)
Abstract It is a critical problem to improve energy efficiency for electric vehicle platooning systems. Moreover, different from internal combustion engine vehicles, the electric engine has higher efficiency, and further regenerating braking is widel
Externí odkaz:
https://doaj.org/article/f6f85f9fd41c4d64a41d755ff7903cb2
Autor:
Tao Wen, Zhicheng Li, Jianying Wang, Feipeng Yang, Mengzhen Zhu, Yimou Luo, Lijun Zhang, Zhilin Liu, Dong Qiu, Hailin Yang, Shouxun Ji
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
The CALPHAD (calculation of phase diagrams) method was applied to facilitate the design of a crack-free Al-Mg-Si-Ti alloy fabricated by laser-powder bed fusion (L-PBF). Calculation and alloy characterisation show that Ti addition at 0.77 wt.% can off
Externí odkaz:
https://doaj.org/article/63193a4bafeb45c58e7034d1d4848fc0
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
NiTi shape memory alloys (SMAs) prepared by the laser powder bed fusion (LPBF) technology have demonstrated promise in aerospace and medical applications. Nevertheless, ensuring repeatability and customised design in printed parts remains challenging
Externí odkaz:
https://doaj.org/article/153a26384adc4e678d4b0df7acd6bd75
Publikováno v:
IEEE Access, Vol 12, Pp 107631-107644 (2024)
We propose the Enhanced Predictive Recurrent Neural Network (EnPredRNN) based on PredRNN to extend the period of spatio-temporal prediction. To better capture global spatial dependencies, we integrate the Self-Attention (SA) module into PredRNN’s b
Externí odkaz:
https://doaj.org/article/514c2040e6a14d238f6db23e6d6d68ac
Autor:
Zhicheng Li, Jianbin Xiao
Publikováno v:
Polymers, Vol 16, Iss 15, p 2221 (2024)
Distinguished from traditional vulcanized rubber, which is not reusable, thermoplastic elastomer (TPV) is a material that possesses both the excellent resilience of traditional vulcanized rubber and the recyclability of thermoplastic, and TPVs have b
Externí odkaz:
https://doaj.org/article/350c1e5e82424492b73c9271bef3c2ab
Autor:
Xueyi Zheng, Bingzhong Jing, Zihan Zhao, Ruixuan Wang, Xinke Zhang, Haohua Chen, Shuyang Wu, Yan Sun, Jiangyu Zhang, Hongmei Wu, Dan Huang, Wenbiao Zhu, Jianning Chen, Qinghua Cao, Hong Zeng, Jinling Duan, Yuanliang Luo, Zhicheng Li, Wuhao Lin, Runcong Nie, Yishu Deng, Jingping Yun, Chaofeng Li, Dan Xie, Muyan Cai
Publikováno v:
iScience, Vol 27, Iss 3, Pp 109243- (2024)
Summary: Accurate tumor diagnosis by pathologists relies on identifying specific morphological characteristics. However, summarizing these unique morphological features in tumor classifications can be challenging. Although deep learning models have b
Externí odkaz:
https://doaj.org/article/98bab18ed8654461bee553d5ab97b2df
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Introduction: Deep learning has demonstrated exceptional prowess in estimating battery capacity. However, its effectiveness is often compromised by performance degradation under a consequence of varying operational conditions and diverse charging/dis
Externí odkaz:
https://doaj.org/article/2cc7ede7d59744138dfa77c3c9aa4fe5
Publikováno v:
AIMS Mathematics, Vol 8, Iss 12, Pp 28897-28925 (2023)
The study of harvesting mechanisms in predator-prey systems with an Allee effect on prey has always garnered significant attention. In this paper, the dynamics and harvesting strategies of a predator-prey system are investigated, where the prey is su
Externí odkaz:
https://doaj.org/article/b8f3586ba2de40b8b010c61afe8291e6
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1531-1540 (2023)
Renewable-based multi energy power system is the main trend for power system in the future. However, the randomness and fluctuation of wind and photovoltaic power, as well as the seasonality of hydropower, have an increasingly prominent impact on the
Externí odkaz:
https://doaj.org/article/3f791257e6454d119a9b9730a6c8de57