Zobrazeno 1 - 10
of 2 087
pro vyhledávání: '"WANG Dongliang"'
Publikováno v:
Shipin yu jixie, Vol 39, Iss 10, Pp 19-26 (2023)
Objective: This study aimed to investigate the effects of different processing temperature on texture profile and flavor of dried edible bird's nest. Methods: With dried edible bird's nest as the main raw material, the texture profile analysis of edi
Externí odkaz:
https://doaj.org/article/85736225c81d457db1c79c255bcbc69c
Autor:
ZHOU Lixin, CI Yang, HU Yaxiong, ZHUO Ma, CIDAN Zhuoga, WANG Dongliang, CAO Xudong, WU Kexue, ZHAO Yuhua, PENG Bin
Publikováno v:
Xiehe Yixue Zazhi, Vol 13, Iss 5, Pp 888-894 (2022)
Objective To explore the improvement effect of green channel process optimization in acute ischemic stroke (AIS) on intravenous thrombolysis (IVT) quality in Lhasa. Methods All patients with AIS who received IVT by the stroke center of Tibet Autonomo
Externí odkaz:
https://doaj.org/article/4be5c8efbbe74607b1b8d53a70b0e953
Autor:
Xu, Tengji, Luo, Zeyu, Liu, Shaojie, Fan, Li, Xiao, Qiarong, Wang, Benshan, Wang, Dongliang, Huang, Chaoran
AI models are essential in science and engineering, but recent advances are pushing the limits of traditional digital hardware. To address these limitations, physical neural networks (PNNs), which use physical substrates for computation, have gained
Externí odkaz:
http://arxiv.org/abs/2411.12352
Microring resonators (MRRs) are essential components in large-scale photonic integrated circuits (PICs), but programming these circuits with high precision and efficiency remains an unsolved challenge. Conventional methods rely on complex calibration
Externí odkaz:
http://arxiv.org/abs/2410.22064
Autor:
Niu, Zeyi, Huang, Wei, Zhang, Lei, Deng, Lin, Wang, Haibo, Yang, Yuhua, Wang, Dongliang, Li, Hong
With the rapid development of data-driven machine learning (ML) models in meteorology, typhoon track forecasts have become increasingly accurate. However, current ML models still face challenges, such as underestimating typhoon intensity and lacking
Externí odkaz:
http://arxiv.org/abs/2408.12630
Autor:
Zhuang, Jiafan, Xia, Zihao, Han, Gaofei, Wang, Boxi, Li, Wenji, Wang, Dongliang, Hao, Zhifeng, Cai, Ruichu, Fan, Zhun
Deep reinforcement learning (DRL) has achieved remarkable progress in online path planning tasks for multi-UAV systems. However, existing DRL-based methods often suffer from performance degradation when tackling unseen scenarios, since the non-causal
Externí odkaz:
http://arxiv.org/abs/2407.04064
Autor:
Zhuang, Jiafan, Han, Gaofei, Xia, Zihao, Wang, Boxi, Li, Wenji, Wang, Dongliang, Hao, Zhifeng, Cai, Ruichu, Fan, Zhun
In unseen and complex outdoor environments, collision avoidance navigation for unmanned aerial vehicle (UAV) swarms presents a challenging problem. It requires UAVs to navigate through various obstacles and complex backgrounds. Existing collision avo
Externí odkaz:
http://arxiv.org/abs/2407.04056
Publikováno v:
E3S Web of Conferences, Vol 369, p 02002 (2023)
In today’s society, with the continuous development of China’s economy, the power industry is also growing rapidly. As an important part of the logistics distribution system, the warehousing system plays an important role in the production and op
Externí odkaz:
https://doaj.org/article/7ec1116f6a7241a5ad21df23d45c54de
Reservoir computing (RC) is a leading machine learning algorithm for information processing due to its rich expressiveness. A new RC paradigm has recently emerged, showcasing superior performance and delivering more interpretable results with shorter
Externí odkaz:
http://arxiv.org/abs/2407.05840
Publikováno v:
Jixie qiangdu, Vol 40, Pp 1017-1023 (2018)
According to shearer vibration problems in the practical work,using multi-body dynamics theory,considering shearer support characteristics of guide boots and pin-rail,the friction between flat boots and middle trough,the connection characteristics be
Externí odkaz:
https://doaj.org/article/26791a244bd64c1887ae33d24a5306e8