Two stochastic models of a random walk in the U(n)-spherical duals of U(n+1) [PDF]
, 2013 The random walk to be considered takes place in the - spherical dual of the group U(n + 1), for a xed nite dimensional irreducible representation of U(n).
Grunbaum, F. +2 more
core +2 more sources
Associação entre características de desempenho de tilápia-do-nilo ao longo do período de cultivo. [PDF]
, 2017 O objetivo deste trabalho foi estimar as herdabilidades e a estrutura de correlações genéticas entre as características de desempenho de tilápia-do-nilo (Oreochromis niloticus) da linhagem GIFT, em diferentes estágios do ciclo de produção.
ALEXANDRE FILHO, L. +6 more
core +1 more source
, 2022 Language models (LMs) have recently been shown to generate more factual responses by employing modularity (Zhou et al., 2021) in combination with retrieval (Adolphs et al., 2021). We extend the recent approach of Adolphs et al. (2021) to include internet
Adolphs, Leonard +5 more
core +1 more source
Validation of 7 Years in-Flight HY-2A Calibration Microwave Radiometer Products Using Numerical Weather Model and Radiosondes [PDF]
, 2019 Haiyang-2A (HY-2A) has been working in-flight for over seven years, and the accuracy of HY-2A calibration microwave radiometer (CMR) data is extremely important for the wet troposphere delay correction (WTC) in sea surface height (SSH) determination.
He, Xiufeng +5 more
core +1 more source
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications [PDF]
, 2023 This paper presents the first Arabic crossword puzzle generator driven by advanced AI technology. Leveraging cutting-edge large language models including GPT4, GPT3-Davinci, GPT3-Curie, GPT3-Babbage, GPT3-Ada, and BERT, the system generates distinctive ...
Gori, Marco +3 more
core +2 more sources
Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods
Remote Sensing, 2022 The weighted mean temperature (Tm) is crucial for converting zenith wet delay to precipitable water vapor in global navigation satellite system meteorology.
Meng Cai +6 more
doaj +1 more source
Satellite Navigation, 2023 Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5 ...
Ifechukwu Ugochukwu Nzelibe +2 more
doaj +1 more source
Machine Learning-Based Calibrated Model for Forecast Vienna Mapping Function 3 Zenith Wet Delay
Remote Sensing, 2023 An accurate estimation of zenith wet delay (ZWD) is crucial for global navigation satellite system (GNSS) positioning and GNSS-based precipitable water vapor (PWV) inversion. The forecast Vienna Mapping Function 3 (VMF3-FC) is a forecast product provided
Feijuan Li +5 more
doaj +1 more source
A hybrid-grid global model for the estimation of atmospheric weighted mean temperature considering time-varying vertical adjustment rate in GNSS precipitable water vapour retrieval [PDF]
Geoscientific Model DevelopmentThe atmospheric weighted mean temperature (Tm) is a key parameter in global navigation satellite system (GNSS) water vapour retrieval and can convert the zenith wet delay (ZWD) into precipitable water vapour (PWV). However, there are some shortcomings in
S. Xie +6 more
doaj +1 more source
A global grid model for the estimation of zenith tropospheric delay considering the variations at different altitudes [PDF]
Geoscientific Model Development, 2023 The accuracy of tropospheric delay correction heavily depends on the quality of the tropospheric model, and the zenith tropospheric delay (ZTD) is an important factor affecting the tropospheric delay. Therefore, it is essential to establish a precise ZTD
L. Huang +10 more
doaj +1 more source