Results 1 to 10 of about 776 (171)
Assessment of Empirical Troposphere Model GPT3 Based on NGL’s Global Troposphere Products [PDF]
Sensors, 2020 Tropospheric delay is one of the major error sources in GNSS (Global Navigation Satellite Systems) positioning. Over the years, many approaches have been devised which aim at accurately modeling tropospheric delays, so-called troposphere models.
Junsheng Ding, Junping Chen
exaly +9 more sources
A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN [PDF]
Remote Sensing, 2021 The delays of radio signals transmitted by global navigation satellite system (GNSS) satellites and induced by neutral atmosphere, which are usually represented by zenith tropospheric delay (ZTD), are required as critical information both for GNSS ...
Jiming Guo, Chaoyang Zhang, Fei Yang
exaly +5 more sources
Comprehensive Analysis of the Global Zenith Tropospheric Delay Real-Time Correction Model Based GPT3
Atmosphere, 2023 To obtain a higher accuracy for the real-time Zenith Tropospheric Delay (ZTD), a refined tropospheric delay correction model was constructed by combining the tropospheric delay correction model based on meteorological parameters and the GPT3 model.
Jian Chen +4 more
exaly +5 more sources
Remote Sensing, 2022 The prior zenith hydrostatic delay (ZHD) is an essential parameter for the Global Navigation Satellite System (GNSS) and very long baseline interferometry (VLBI) high-precision data processing. Meanwhile, the precise ZHD facilitates the separation of the
Lilong Liu, Junyu Li, Liangke Huang
exaly +6 more sources
Atmosphere, 2023 An accurate model of the Zenith Tropospheric Delay (ZTD) plays a crucial role in Global Navigation Satellite System (GNSS) precise positioning, water vapor retrieval, and meteorological research. Current empirical models (such as the GPT3 model) can only
Fuyang Ke, Xuexiang Yu
exaly +5 more sources
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 ...
Qimin He
exaly +4 more sources
Loneliness and suicide mitigation for students using GPT3-enabled chatbots [PDF]
npj Mental Health Research, 2023 Mental health is a crisis for learners globally, and digital support is increasingly seen as a critical resource. Concurrently, Intelligent Social Agents receive exponentially more engagement than other conversational systems, but their use in digital ...
Bethanie Maples +3 more
doaj +4 more sources
A Zenith Wet Delay Improved Model in China Based on GPT3 and Random Forest
Geodesy and GeodynamicsZenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research.
Shaoni Chen +2 more
exaly +4 more sources
Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study [PDF]
Open Research Europe, 2023 Background: There is a wide variety of potential sources from which insight into the antiquities trade could be culled, from newspaper articles to auction catalogues, to court dockets, to personal archives, if it ...
Shawn Graham, Donna Yates, Ahmed El-Roby
doaj +2 more sources
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 +5 more
doaj +1 more source