Results 61 to 70 of about 343 (133)

Opinerium: Subjective Question Generation Using Large Language Models

IEEE Access
This paper presents a comprehensive study on generating subjective inquiries for news media posts to empower public engagement with trending media topics.
Pedram Babakhani, Andreas Lommatzsch, Torben Brodt, Doreen Sacker, Fikret Sivrikaya, Sahin Albayrak   +5 more
doaj   +1 more source

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   +1 more source

Selecting ERA5 Grid Spacing for GNSS Tropospheric Parameters over China

Atmosphere
ERA5 is the fifth-generation atmospheric reanalysis from the European Centre for Medium-Range Weather Forecasts. It combines observations with a weather model to reconstruct past atmospheric conditions.
Ziyang Ding, Chao Liu, Zihan Peng, Clement Chongo, James Ngoma   +4 more
doaj   +1 more source

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 China-Specific Near-Real-Time GNSS Water Vapor Retrieval Model Based on LightGBM

Remote Sensing
Atmospheric water vapor is a key atmospheric variable that regulates weather variability, the hydrological cycle, and climate processes. GNSS-based water vapor retrieval provides an effective approach for continuous and near-real-time monitoring of ...
Mingchen Zhu, Hui Chang, Zhikang Li, Qian Zhang, Xingwang Fan   +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  

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

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