Results 31 to 40 of about 12,241 (271)

The New Improved ZHD and Weighted Mean Temperature Models Based on GNSS and Radiosonde Data Using GPT3 and Fourier Function

Atmosphere, 2022
Compared to the zenith hydrostatic delay (ZHD) obtained from the Saastamonien model based on in-situ measured meteorological (IMM) data and radiosonde-derived weighted mean temperature (Tm), the ZHD and Tm deviations of the GPT3 model have shown obvious ...
Li Li, Ying Gao, Siyi Xu, Houxian Lu, Qimin He, Hang Yu   +5 more
doaj   +1 more source

Novel hypoxia-related gene signature for predicting prognoses that correlate with the tumor immune microenvironment in NSCLC

Frontiers in Genetics, 2023
Background: Intratumoral hypoxia is widely associated with the development of malignancy, treatment resistance, and worse prognoses. The global influence of hypoxia-related genes (HRGs) on prognostic significance, tumor microenvironment characteristics ...
Zhaojin Li, Yu Cui, Shupeng Zhang, Jie Xu, Jianping Shao, Hekai Chen, Jingzhao Chen, Shun Wang, Meizhai Zeng, Hao Zhang, Siqian Lu, Zhi Rong Qian, Guoqiang Xing   +12 more
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Feasibility of Code-Level Altimetry Using Coastal BeiDou Reflection (BeiDou-R) Setups

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015
With the development of the Chinese BeiDou satellite navigation system, the applications of BeiDou-reflected (BeiDou-R) signals will play a key role in Global Navigation Satellite System-reflected (GNSS-R) signals. In this paper, we describe the theory of code-level ocean surface altimetry using BeiDou-R signals.
Yun Zhang, Luman Tian, Wanting Meng, Qiming Gu, Yanling Han, Zhonghua Hong   +5 more
openaire   +1 more source

Time-space intelligent management and dispatch of electric Beidou based on Beidou and digital twin technology

Journal of Physics: Conference Series, 2023
Abstract Aiming at the increasingly complex management and dispatching problems of power system, this paper combines Beidou precise space-time technology with digital twin system theory, and puts forward a method of constructing intelligent management and dispatching platform of power grid. The method combines Beidou and IoT (Internet of
Zanyou Su, Liming Lin, Yifei Wang
openaire   +1 more source

ANALYSIS OF URBAN FOREST CARBON SEQUESTRATION CAPACITY: A CASE STUDY OF ZENGDU, SUIZHOU [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Carbon-fixing and oxygen-releasing is an important content of forest ecosystem serving in city. Analysis of forest ecosystem carbon sequestration capacity can provide scientific reference for urban forest management strategies.
X. Yu, H. Wang, W. Cai, Y. Han
doaj   +1 more source

A Station-Specific Ionospheric Modeling Method for the Estimation and Analysis of BeiDou-3 Differential Code Bias Parameters

Navigation, 2022
A modified generalized trigonometric series (GTS) function is presented for the joint estimation of local ionospheric activities and differential code biases (DCBs) of the third-generation BeiDou navigation satellite system (BeiDou-3).
Ningbo Wang, Zishen Li, Andrzej Krankowski, Xingliang Huo   +3 more
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Real time cycle slip detection of Beidou single frequency carrier phase based on Kalman filtering

Gong-kuang zidonghua, 2016
In application of Beidou single frequency receiver in real time mining deformation monitoring, in order to improve precision of cycle slip detection in measurement preconditioning of Beidou single frequency carrier phase, real time cycle slip detection ...
MA Xiaodong, SONG Bing, ZHANG Shubi, LIU Xin   +3 more
doaj   +1 more source

Geographically Weighted Flow Cross K-Function for Network-Constrained Flow Data

Applied Sciences, 2022
Network-constrained spatial flows are usually used to describe movements between two spatial places on a road network. The analysis of the spatial associations between different types of network-constrained spatial flows plays a key role in understanding
Weijie Zhang, Jun Zhao, Wenkai Liu, Zhangzhi Tan, Hanfa Xing   +4 more
doaj   +1 more source

MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network

BMC Bioinformatics, 2022
Background MircoRNAs (miRNAs) play a central role in diverse biological processes of Camellia sinensis var.assamica (CSA) through their associations with target mRNAs, including CSA growth, development and stress response.
Haisong Feng, Ying Xiang, Xiaosong Wang, Wei Xue, Zhenyu Yue   +4 more
doaj   +1 more source

Research on Modeling Weighted Average Temperature Based on the Machine Learning Algorithms

Atmosphere, 2023
In response to the nonlinear fitting difficulty of the traditional weighted average temperature (Tm) modeling, this paper proposed four machine learning (ML)-based Tm models.
Kai Li, Li Li, Andong Hu, Jianping Pan, Yixiang Ma, Mingsong Zhang   +5 more
doaj   +1 more source