Results 141 to 150 of about 776 (171)

Enhancing Patient-Trial Matching With Large Language Models: A Scoping Review of Emerging Applications and Approaches. [PDF]

JCO Clin Cancer Inform
Chen H, Li X, He X, Chen A, McGill J, Webber EC, Xu H, Liu M, Bian J.   +8 more
europepmc   +1 more source

GNSS-Retrieved Precipitable Water Vapour in the Atlantic Coast of France and Spain With GPT3 Model [PDF]

Acta Geodaetica Et Geophysica, 2023
AbstractWater vapour is a critical atmospheric parameter to understand the Earth's climate system and it is characterized by a complex variability in time and space. GNSS observations have become an important source of information of the water vapour, thanks to its high temporal and spatial resolution.
Natalia Garrido-Villén, Raquel Perdiguer-López   +1 more
exaly   +5 more sources

Water Vapor Monitoring With IGS RTS and GPT3/VMF3 Functions Over Turkey

Advances in Space Research, 2022
Precise Point Positioning (PPP) has been proven as a cost-effective and efficient technique for monitoring the precipitable water vapor (PWV), which plays a critical role in weather forecasting. The recent developments of the International Global Navigation Satellite Systems Service (IGS) Real-Time Pilot Project (RTPP) ease the difficulties of real ...
Engin Tunali
exaly   +4 more sources

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A Precipitation Forecast Model With a Neural Network and Improved GPT3 Model for Japan

GPS Solutions, 2023
Tianhe Xu, Honglei Yang, Ao Guo
exaly   +2 more sources

Statistical Data Analysis Using GPT3: An Overview

2022 IEEE Bombay Section Signature Conference (IBSSC), 2022
Disha Devalia
exaly   +2 more sources

Forecasting GNSS Zenith Troposphere Delay by Improving GPT3 Model With Machine Learning in Antarctica [PDF]

Atmosphere, 2022
Antarctica has a significant impact on global climate change. However, to draw climate change scenarios, there is a need for meteorological data, such as water vapor content, which is scarce in Antarctica. Global navigation satellite system (GNSS) networks can play a major role in overcoming this problem as the tropospheric delay that can be derived ...
Tianhe Xu, Luísa Bastos, Song Li
exaly   +3 more sources

A Chat About GPT3 (and Other Forms of Alien Intelligence) With Chris Dede

TechTrends, 2023
Danah Henriksen, Melissa Warr, Punya Mishra   +2 more
exaly   +2 more sources

GPT3: DALL-E Ve Jl2P Ekseninde Veri Görselleştirme Ve Hareketlendirme Üzerine Bir Inceleme

Uluslararası Sosyal Bilimler Akademi Dergisi, 2021
Teknolojik evrimin güçlü sembollerinden biri olan yapay zekâ, derin öğrenme alanındaki güncel gelişmeler doğrultusunda hızla ilerleme kaydetmektedir. Bu ilerlemenin somut çıktılarından biri olan GPT3 sistemi (üretici ön-eğitimli dönüştürücü-generative pre-trained transformer3) derin öğrenme dil modeline bağlı olarak, veri görselleştirme alanında hızla ...
Ezgi Şen
exaly   +4 more sources

VMF veri sunucusundan türetilen grid bazlı VMF3 ve GPT3 troposfer modellerinin karşılaştırılması: Avrupa bölgesi için bir çalışma

Journal of Geodesy and Geoinformation
Toplam Zenit Gecikmesi (ZTD), elektromanyetik sinyallerin doğruluğunu etkileyen önemli bir faktör olduğundan Küresel Navigasyon Uydu Sistemleri (Global Navigation Satellite Systems, GNSS), jeodezi ve haritacılık, hava durumu tahminleri ve astronomik ...
Ali Utku Akar, Cevat Inal
exaly   +2 more sources