Results 71 to 80 of about 23,670,881 (172)

A Refined Spatiotemporal ZTD Model of the Chinese Region Based on ERA and GNSS Data

Remote Sensing
Empirical tropospheric models can improve the performance of GNSS precise point positioning (PPP) by providing a priori zenith tropospheric delay (ZTD) information.
Yongzhao Fan, Fengyu Xia, Zhimin Sha, Nana Jiang   +3 more
doaj   +1 more source

A Zenith Tropospheric Delay Modeling Method Based on the UNB3m Model and Kriging Spatial Interpolation

Atmosphere
To accurately estimate Zenith Tropospheric Delay (ZTD) for high-precision positioning of the Global Navigation Satellite System (GNSS), this study proposes a modeling method of ZTD based on the UNB3m model and Kriging spatial interpolation, in which the ...
Huineng Yan, Zhigang Lu, Fang Li, Yu Li, Fuping Li, Rui Wang   +5 more
doaj   +1 more source

Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). [PDF]

Proc Conf Assoc Comput Linguist Meet, 2023
Shaib C, Li ML, Joseph S, Marshall IJ, Li JJ, Wallace BC.   +5 more
europepmc   +1 more source

A grid model of direct conversion between zenith tropospheric delay and precipitable water vapor in tropical regions

GPS Solutions
Accurately measuring precipitable water vapor (PWV) is challenging, especially in the absence of the measured meteorological data. We propose a novel grid model, CZP, that directly converts zenith tropospheric delay to PWV, leveraging ERA5 reanalysis ...
Chunhua Jiang, Shaoni Chen, Shuaimin Wang, Xiang Gao, Huizhong Zhu, Yangyang Lu, Guangsheng Liu   +6 more
semanticscholar   +1 more source

The student becomes the master: Matching GPT3 on Scientific Factual Error Correction

arXiv.org, 2023
Dhananjay Ashok, Atharva Kulkarni, Hai Pham, B. Póczos   +3 more
semanticscholar   +1 more source

New Models of Zenith Tropospheric Delay for Chinese Mainland and Surrounding Areas Based on Convolutional Neural Network and Random Forest

IEEE Access
Accurate models of zenith tropospheric delay (ZTD) is crucial in meteorology as well as in navigation and positioning. In this study, we employ Convolutional Neural Network (CNN) and Random Forest (RF) models to establish six direct or compensation ...
Jiahao Zhang, Qin Liang, Yunqing Huang
doaj   +1 more source

A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered

Atmosphere
The tropospheric Zenith Wet Delay (ZWD) is one of the primary sources of error in Global Navigation Satellite Systems (GNSS). Precise ZWD modeling is essential for GNSS positioning and Precipitable Water Vapor (PWV) retrieval.
Yin Wu, Lu Huang, Wei Feng, Su Tian
doaj   +1 more source

GPT3: DALL-E VE JL2P EKSENİNDE VERİ GÖRSELLEŞTİRME VE HAREKETLENDİRME ÜZERİNE BİR İNCELEME

Uluslararası Sosyal Bilimler Akademi Dergisi, 2021
Ezgi Şen, Ezgi Şen
semanticscholar   +1 more source

Precipitable Water Vapor Retrieval Based on GNSS Data and Its Application in Extreme Rainfall

Remote Sensing
Water vapor plays a crucial role in maintaining global energy balance and water cycle, and it is closely linked to various meteorological disasters. Precipitable water vapor (PWV), as an indicator of variations in atmospheric water vapor content, has ...
Tian Xian, Ke Su, Jushuo Zhang, Huaquan Hu, Haipeng Wang   +4 more
doaj   +1 more source

Italian Crossword Generator: An In-depth Linguistic Analysis in Educational Word Puzzles

IJCoL
Educational crosswords offer numerous benefits for students, including increased engagement, improved understanding, critical thinking, and memory retention.
Kamyar Zeinalipour, Tommaso Iaquinta, Asya Zanollo, Giovanni Angelini, Leonardo Rigutini, Marco Maggini, Marco Gori   +6 more
doaj