Results 61 to 70 of about 329 (133)
Tropospheric zenith wet delay (ZWD) plays a vital role in the analysis of space geodetic observations. In recent years, machine learning methods have been increasingly applied to improve the accuracy of ZWD calculations.
Jiahao Zhang, Qin Liang, Yunqing Huang
doaj +1 more source
Opinerium: Subjective Question Generation Using Large Language Models
This paper presents a comprehensive study on generating subjective inquiries for news media posts to empower public engagement with trending media topics.
Pedram Babakhani +5 more
doaj +1 more source
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 +6 more
doaj +1 more source
A Refined Spatiotemporal ZTD Model of the Chinese Region Based on ERA and GNSS Data
Empirical tropospheric models can improve the performance of GNSS precise point positioning (PPP) by providing a priori zenith tropospheric delay (ZTD) information.
Yongzhao Fan +3 more
doaj +1 more source
Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). [PDF]
Shaib C +5 more
europepmc +1 more source
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 +5 more
doaj +1 more source
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
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
Precipitable Water Vapor Retrieval Based on GNSS Data and Its Application in Extreme Rainfall
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 +4 more
doaj +1 more source
Italian Crossword Generator: An In-depth Linguistic Analysis in Educational Word Puzzles
Educational crosswords offer numerous benefits for students, including increased engagement, improved understanding, critical thinking, and memory retention.
Kamyar Zeinalipour +6 more
doaj

