Zobrazeno 1 - 10
of 561
pro vyhledávání: '"SUN Yiwen"'
Autor:
SUN Yiwen, YAN Sijin, LU Feng, FU Xiaofang, SHEN Ruihong, YUAN Yayun, CAI Bingchao, YANG Ya, HUANG Mei, BAN Haiqun
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 5, Pp 491-496 (2024)
ObjectiveTo understand the use of antibiotics in inpatients and the incidence and trend of hospital infections， to explore the implementation effect of comprehensive management measures， and to provide reference for hospitals to use antibiotics r
Externí odkaz:
https://doaj.org/article/7093c311d3c14f4ca65b70ea7af0e14b
Publikováno v:
He jishu, Vol 46, Iss 10, Pp 100401-100401 (2023)
BackgroundIn the realm of cosmological ray studies employing plastic scintillation fibers, it is essential to conduct quantitative analyses of the photon number from the fiber's output pulse for the successful design of readout electronics.PurposeGiv
Externí odkaz:
https://doaj.org/article/57114199df0e4912b3d409e4662e7434
Publikováno v:
矿业科学学报, Vol 6, Iss 4, Pp 480-486 (2021)
As one of the lead-free piezoelectric systems, potassium sodium niobate [(K, Na)NbO3, abbreviated as KNN] has been a research interest due to its high piezoelectric property, high Curie temperature as well as the tailored phase structures. However, t
Externí odkaz:
https://doaj.org/article/570f3c60e2454659b170cb4f67923aff
Conventional hematoxylin-eosin (H&E) staining is limited to revealing cell morphology and distribution, whereas immunohistochemical (IHC) staining provides precise and specific visualization of protein activation at the molecular level. Virtual stain
Externí odkaz:
http://arxiv.org/abs/2407.03655
Lane-changing decisions, which are crucial for autonomous vehicle path planning, face practical challenges due to rule-based constraints and limited data. Deep reinforcement learning has become a major research focus due to its advantages in data acq
Externí odkaz:
http://arxiv.org/abs/2406.09755
Autor:
Sun, Yiwen, Li, Wenye
OpenTensor is a reproduction of AlphaTensor, which discovered a new algorithm that outperforms the state-of-the-art methods for matrix multiplication by Deep Reinforcement Learning (DRL). While AlphaTensor provides a promising framework for solving s
Externí odkaz:
http://arxiv.org/abs/2405.20748
Conflict-Driven Clause Learning (CDCL) is the mainstream framework for solving the Satisfiability problem (SAT), and CDCL solvers typically rely on various heuristics, which have a significant impact on their performance. Modern CDCL solvers, such as
Externí odkaz:
http://arxiv.org/abs/2402.10705
We present OpenRL, an advanced reinforcement learning (RL) framework designed to accommodate a diverse array of tasks, from single-agent challenges to complex multi-agent systems. OpenRL's robust support for self-play training empowers agents to deve
Externí odkaz:
http://arxiv.org/abs/2312.16189
Autor:
Qian, Kun, Belyi, Anton, Wu, Fei, Khorshidi, Samira, Nikfarjam, Azadeh, Khot, Rahul, Sang, Yisi, Luna, Katherine, Chu, Xianqi, Choi, Eric, Govind, Yash, Seivwright, Chloe, Sun, Yiwen, Fakhry, Ahmed, Rekatsinas, Theo, Ilyas, Ihab, Qi, Xiaoguang, Li, Yunyao
The quality of a knowledge graph directly impacts the quality of downstream applications (e.g. the number of answerable questions using the graph). One ongoing challenge when building a knowledge graph is to ensure completeness and freshness of the g
Externí odkaz:
http://arxiv.org/abs/2312.09424
Phase modulation plays a crucial role in various terahertz applications, including biomedical imaging, high-rate communication, and radar detection. Existing terahertz phase shifters typically rely on tuning the resonant effect of metamaterial struct
Externí odkaz:
http://arxiv.org/abs/2305.10632