Results 11 to 20 of about 23,670,881 (172)

High-Precision ZTD Model of Altitude-Related Correction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Zenith tropospheric delay (ZTD) is one of the main error sources in space geodesy. The existing regional or global models, such as Global Pressure and Temperature 3 (GPT3), Global Tropospheric model, Global Hopfield, and Shanghai Astronomical observatory
Qingzhi Zhao, Jing Su, Chaoqian Xu, Yibin Yao, Xiaoya Zhang, Jifeng Wu   +5 more
doaj   +2 more sources

Refining the ERA5-based global model for vertical adjustment of zenith tropospheric delay

Satellite Navigation, 2022
Tropospheric delay is an important factor affecting high precision Global Navigation Satellite System (GNSS) positioning and also the basic data for GNSS atmospheric research.
Ge Zhu, Liangke Huang, Yunzhen Yang, Junyu Li, Lv Zhou, Lilong Liu   +5 more
doaj   +2 more sources

Characterization of Surface Pressure Accuracy and Spatial and Temporal Variations of The GPT3 And HGPT2 Models in The Chinese Region

Academic Journal of Science and Technology
The accuracy of surface pressure is crucial for obtaining high-precision zenith hydrostatic delay(ZHD). In order to verify the accuracy of the Global Pressure and Temperature model (HGPT2 ) and the Global Pressure and Temperature (GPT3) in obtaining ground air pressure in China, as well as the spatiotemporal variation characteristics of the errors of ...
Sen Li, Kai Wang, Haofei Ban, Chen Xue, Yongxiao Guo   +4 more
openaire   +2 more sources

Higher accuracy estimation of the weighted mean temperature (tm) with the aid of machine learning and NWP model

All Earth
An accurate calculation of weighted mean temperature (Tm) is highly critical for global navigation satellite system (GNSS) based precipitable water vapour retrieval.
Mingyun Hu, Junyu Li, Chaolong Yao, Feijuan Li, Lilong Liu, Liangke Huang, Yuxin Wang   +6 more
doaj   +2 more sources

Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precise modeling of zenith tropospheric delay (ZTD) is essential for real-time high-precision positioning in global navigation satellite systems. Due to the stochastic variability of atmospheric water vapor across different regions, tropospheric delay ...
Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai   +5 more
doaj   +2 more sources

Be Sure to Use the Same Writing Style: Applying Authorship Verification on Large-Language-Model-Generated Texts

Applied Sciences
Recently, there have been significant advances and wide-scale use of generative AI in natural language generation. Models such as OpenAI’s GPT3 and Meta’s LLaMA are widely used in chatbots, to summarize documents, and to generate creative content.
Janith Weerasinghe, Ovendra Seepersaud, Genesis Smothers, Julia Jose, Rachel Greenstadt   +4 more
doaj   +2 more sources

A New Grid Zenith Tropospheric Delay Model Considering Time-Varying Vertical Adjustment and Diurnal Variation over China

Remote Sensing
Improving the accuracy of zenith tropospheric delay (ZTD) models is an important task. However, the existing ZTD models still have limitations, such as a lack of appropriate vertical adjustment function and being unsuitable for China, which has a complex
Jihong Zhang, Xiaoqing Zuo, Shipeng Guo, Shaofeng Xie, Xu Yang, Yongning Li, Xuefu Yue   +6 more
doaj   +2 more sources

GFZTD: A Multimodal Fusion-Driven 3-D Tropospheric Delay Prediction Model Coupling Self-Attention and ConvLSTM

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tropospheric delay, for which water vapor is a major cause, is a significant source of error in the global navigation satellite system. This article presents the gray figure-based zenith tropospheric delay prediction (GFZTD) model, which is built on ...
Yixin Zhu, Zhimin Sha, Pengzhi Wei, Shirong Ye, Pengfei Xia, Fangxin Hu   +5 more
doaj   +2 more sources

Taught by the Internet, Exploring Bias in OpenAIs GPT3 [PDF]

arXiv.org, 2023
This research delves into the current literature on bias in Natural Language Processing Models and the techniques proposed to mitigate the problem of bias, including why it is important to tackle bias in the first place.
Ali Ayaz, Aditya Nawalgaria, Ruilian Yin, Philipp Borchert, Jochen De Weerdt   +4 more
semanticscholar   +1 more source

A New Empirical Model of Weighted Mean Temperature Combining ERA5 Reanalysis Data, Radiosonde Data, and TanDEM-X 90m Products over China

Remote Sensing
Weighted mean temperature (Tm) is an important parameter in the water vapor inversion of global navigation satellite systems (GNSS). High-precision Tm values can effectively improve the accuracy of GNSS precipitable water vapor.
Jingkui Zhang, Liu Yang, Jian Wang, Yifan Wang, Xitian Liu   +4 more
doaj   +2 more sources