Zobrazeno 1 - 10
of 895
pro vyhledávání: '"HU Yingjie"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 11, Pp 26-35 (2024)
Wind turbines can contribute to frequency regulation by releasing rotor kinetic energy， which is an effective way to ensure frequency stability in power systems with high wind power penetration. However， the rotor speed recovery process may cause
Externí odkaz:
https://doaj.org/article/ea70c109cce64948a29bbb44eb50f4d3
Publikováno v:
Redai dili, Vol 42, Iss 2, Pp 256-268 (2022)
As the Guangdong-Hong Kong-Macao Greater Bay Area has become a national strategy, bay area governance has become an important issue of academic attention. Existing studies pay more attention to specific governance measures and current situation, and
Externí odkaz:
https://doaj.org/article/599e3659b37a4c2eb6abea9cfe52b65e
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 10, Pp 33-42 (2021)
【Objective】 Plastic-film mulching combined with drip irrigation is a common cultivation method in areas facing water resource shortage, but how and if the film colour affects water and thermal condition in soil is not well understood. The aim of
Externí odkaz:
https://doaj.org/article/34cfbc770ed3415195733160bd724804
Autor:
Cheah, Sze Kwan, Hu, Yingjie
This paper presents preliminary work on computing upper bounds on the estimation error covariance in the framework of the extended Kalman filter. The approach taken is using quadratic constraints to bound the dynamic nonlinearities and use of semidef
Externí odkaz:
http://arxiv.org/abs/2410.08298
Publikováno v:
Transactions in GIS, 2024
Geographical random forest (GRF) is a recently developed and spatially explicit machine learning model. With the ability to provide more accurate predictions and local interpretations, GRF has already been used in many studies. The current GRF model,
Externí odkaz:
http://arxiv.org/abs/2409.13947
Global Navigation Satellite Systems (GNSS) aided Inertial Navigation System (INS) is a fundamental approach for attaining continuously available absolute vehicle position and full state estimates at high bandwidth. For transportation applications, st
Externí odkaz:
http://arxiv.org/abs/2407.13912
Publikováno v:
Computers, Environment and Urban Systems, 2023
Point of interest (POI) data provide digital representations of places in the real world, and have been increasingly used to understand human-place interactions, support urban management, and build smart cities. Many POI datasets have been developed,
Externí odkaz:
http://arxiv.org/abs/2310.15320
Autor:
Hu, Yingjie, Mai, Gengchen, Cundy, Chris, Choi, Kristy, Lao, Ni, Liu, Wei, Lakhanpal, Gaurish, Zhou, Ryan Zhenqi, Joseph, Kenneth
Publikováno v:
International Journal of Geographical Information Science, 2023
Social media messages posted by people during natural disasters often contain important location descriptions, such as the locations of victims. Recent research has shown that many of these location descriptions go beyond simple place names, such as
Externí odkaz:
http://arxiv.org/abs/2310.09340
Autor:
Mai, Gengchen, Huang, Weiming, Sun, Jin, Song, Suhang, Mishra, Deepak, Liu, Ninghao, Gao, Song, Liu, Tianming, Cong, Gao, Hu, Yingjie, Cundy, Chris, Li, Ziyuan, Zhu, Rui, Lao, Ni
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-shot learning. Despite their succ
Externí odkaz:
http://arxiv.org/abs/2304.06798
Extracting precise geographical information from textual contents is crucial in a plethora of applications. For example, during hazardous events, a robust and unbiased toponym extraction framework can provide an avenue to tie the location concerned t
Externí odkaz:
http://arxiv.org/abs/2301.13631