Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Qichen Zhang"'
Autor:
Xuekai Hu, Jiayun Wei, Pinyan Liu, Qiuxia Zheng, Yue Zhang, Qichen Zhang, Jia Yao, Jingman Ni
Publikováno v:
Cell & Bioscience, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Primary liver cancer (PLC) is one of the most common malignant gastrointestinal tumors worldwide. Limited by the shortage of liver transplantation donors and the heterogeneity of tumors, patients with liver cancer lack effective treatment op
Externí odkaz:
https://doaj.org/article/6228251549d545eb8ab88d4b9d316313
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Biomolecular condensates play a significant role in chromatin activities, primarily by concentrating and compartmentalizing proteins and/or nucleic acids. However, their genomic landscapes and compositions remain largely unexplored due to a
Externí odkaz:
https://doaj.org/article/a35cff4d44294d1a89701e682f618ef4
Publikováno v:
Aqua, Vol 73, Iss 5, Pp 870-887 (2024)
Understanding daily water consumption patterns is crucial for efficient management and distribution of water resources, as well as for promoting energy conservation and achieving carbon peaking and neutrality targets. It compares performance of three
Externí odkaz:
https://doaj.org/article/7ab84183ba6841c885ea7993ce80a4a2
Publikováno v:
Journal of Hydroinformatics, Vol 24, Iss 3, Pp 535-558 (2022)
Short-term (e.g., hourly) urban water consumption (or demand) prediction is of great significance for the optimal operation of the intelligent water distribution pump stations. In this study, three single models (autoregressive integrated moving aver
Externí odkaz:
https://doaj.org/article/7831d6e98d494599821bfc1f1c80fcb7
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4647 (2022)
All current deep learning-based prediction methods for remaining useful life (RUL) assume that training and testing data have similar distributions, but the existence of various operating conditions, failure modes, and noise lead to insufficient data
Externí odkaz:
https://doaj.org/article/0c1488c694f54669b8fcb1baa0f5a407
Publikováno v:
Sensors, Vol 20, Iss 13, p 3664 (2020)
Deep reinforcement learning (DRL) has been successfully applied in mapless navigation. An important issue in DRL is to design a reward function for evaluating actions of agents. However, designing a robust and suitable reward function greatly depends
Externí odkaz:
https://doaj.org/article/7860c49c866b4ef3a926dff7569d94ee
Publikováno v:
Journal of Medical Imaging and Radiation Oncology. 67:308-319
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b47ebe4703b03b48dc626fe16789b80
https://doi.org/10.1111/1754-9485.13519
https://doi.org/10.1111/1754-9485.13519
Autor:
Jian, Zhang, Dan, Liang, Wensheng, Zhou, Qichen, Zhang, Liqi, Wang, Zhijie, Wei, Cui, Liping, Zhang, Fengyuan
Publikováno v:
Frontiers in Energy Research; 2024, p1-9, 9p
Publikováno v:
Eksploatacja i Niezawodność – Maintenance and Reliability. 25
Deep learning is widely used in remaining useful life (RUL) prediction because it does not require prior knowledge and has strong nonlinear fitting ability. However, most of the existing prediction methods are point prediction. In practical engineeri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fff72611c17361fa87e6edce1c28cb0f
https://doi.org/10.17531/ein/165811
https://doi.org/10.17531/ein/165811
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae0e6a8de51eb6a49d79cdf41ab3acfe
https://doi.org/10.1007/s11063-023-11210-7
https://doi.org/10.1007/s11063-023-11210-7