Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Guangxing Wan"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionStand density management is essential for adaptive silviculture, thinning decisions, growth modeling, and yield prediction in forestry, particularly for plantations. Despite extensive research on self-thinning rules and the maximum size-d
Externí odkaz:
https://doaj.org/article/e26226a62fae4e09bcffb031d44b8642
Autor:
Qiong Yang, Wenxuan Ye, Doudou Luo, Jiwei Xing, Qingqing Xiao, Huiling Wu, Youliang Yao, Guangxing Wang, Luyao Yang, Dongbei Guo, Kun Wang, Yaqin He, Xiaofeng Ye, Jinde Zhang, Zhaokui Jin, Zhongxiong Fan, Xiaofei Wen, Jingsong Mao, Xiaoyuan Chen, Qingliang Zhao
Publikováno v:
Materials Today Bio, Vol 26, Iss , Pp 101094- (2024)
Cerebral ischemia-reperfusion injury (CIRI) is a major challenge to neuronal survival in acute ischemic stroke (AIS). However, effective neuroprotective agents remain to be developed for the treatment of CIRI. In this work, we have developed an Anti-
Externí odkaz:
https://doaj.org/article/322b7fbc840c4ea5990eeba90ef31ced
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9445 (2024)
In the context of edge environments with constrained resources, realizing real-time and robust crosswalk and guide arrow detection poses a significant challenge for autonomous driving systems. This paper proposes a crosswalk and guide arrow detection
Externí odkaz:
https://doaj.org/article/a407404459234d71ac60e0a4f97670fe
Autor:
Xiaojin Li, Yabin Sun, Zhen Zhou, Lijie Sun, Guangxing Wan, Waisum Wong, Mengying Zhang, Yanling Shi
Publikováno v:
2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT).
In this work, we propose a novel RC tightened corner test structure for FinFET Technology. In this test structure, Parasitic RC DUTs (Design Under Test) integrated into RO (Ring Oscillator) have been designed to verify and calibrate MEOL (Mid-End-Of-
Publikováno v:
ECS Journal of Solid State Science and Technology. 6:M79-M82
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
High-Resolution Digital Elevation Models (HRDEMs) have been used to delineate fine-scale hydrographic features in landscapes with relatively level topography. However, artificial flow barriers associated with roads are known to cause incorrect modele
Externí odkaz:
https://doaj.org/article/a56984ce5aa1425a99e1bfc2c002f6eb
Autor:
Lingli Jiang, Shuxiang Zhang, Guangxing Wan, Huilong Zhu, Bo Tang, Hongyu Yu, Jiang Yan, Chao Zhao, Tianli Duan
Publikováno v:
IEEE Electron Device Letters. 36:1267-1270
Overshoot stress (stimulating the actual IC operating condition) on an ultra-thin HfO2 (EOT $\sim 0.8$ nm) high- $\kappa $ layer is investigated, which reveals that overshoot is of great importance to high- $\kappa $ layer leakage degradation. The dy
Publikováno v:
2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).
In this work, a novel RC tightened corner modeling methodology using statistical simulation is proposed for the advanced FinFET technology. Based on foundries’ parasitic RC techfile, MEOL (Middle-End-Of- Line) and BEOL (Back-End-Of-Line) parasitic
Autor:
Xing Su, Jiajun Zeng, Quan Zhou, Zhimin Liu, Qiang Li, Zhanshu Li, Guangxing Wang, Hongyang Ma, Jianhui Cui, Xin Chen
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1726 (2024)
Global navigation satellite system (GNSS) provides users with all-weather, continuous, high-precision positioning, navigation, and timing (PNT) services. In the operation and use of GNSS, the influence of the space environment is a factor that must b
Externí odkaz:
https://doaj.org/article/95d581e287714a28964647d8c2de9c71
Publikováno v:
Journal of Applied Economics, Vol 25, Iss 1, Pp 503-522 (2022)
House price prediction has traditionally been approached using linear or spatial linear hedonic models and focused on big cities. In this study, we developed a flexible spatiotemporal model (FSTM) to explore the spatiotemporal characteristics of the
Externí odkaz:
https://doaj.org/article/259fee83f8274d3e8603cf86f9b3d7e8