Results 71 to 80 of about 428 (156)

Be Sure to Use the Same Writing Style: Applying Authorship Verification on Large-Language-Model-Generated Texts

Applied Sciences
Recently, there have been significant advances and wide-scale use of generative AI in natural language generation. Models such as OpenAI’s GPT3 and Meta’s LLaMA are widely used in chatbots, to summarize documents, and to generate creative content.
Janith Weerasinghe, Ovendra Seepersaud, Genesis Smothers, Julia Jose, Rachel Greenstadt   +4 more
doaj   +1 more source

An improved global pressure and zenith wet delay model with optimized vertical correction considering the spatiotemporal variability in multiple height-scale factors [PDF]

Geoscientific Model Development
Atmospheric pressure and zenith wet delay (ZWD) are essential for global navigation satellite system (GNSS) tropospheric correction and precipitable water vapor (PWV) retrieval. As the development progresses of real-time GNSS kinematic technology, moving
C. Jiang, C. Jiang, C. Jiang, X. Gao, H. Zhu, S. Wang, S. Liu, S. Chen, G. Liu   +8 more
doaj   +1 more source

GPT3: DALL-E VE JL2P EKSENİNDE VERİ GÖRSELLEŞTİRME VE HAREKETLENDİRME ÜZERİNE BİR İNCELEME

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 ...
openaire   +3 more sources

GFZTD: A Multimodal Fusion-Driven 3-D Tropospheric Delay Prediction Model Coupling Self-Attention and ConvLSTM

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tropospheric delay, for which water vapor is a major cause, is a significant source of error in the global navigation satellite system. This article presents the gray figure-based zenith tropospheric delay prediction (GFZTD) model, which is built on ...
Yixin Zhu, Zhimin Sha, Pengzhi Wei, Shirong Ye, Pengfei Xia, Fangxin Hu   +5 more
doaj   +1 more source

Empirical tropospheric zenith wet delay models with strong generalization capability based on a robust machine learning fusion algorithm

Geodesy and Geodynamics
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

Higher accuracy estimation of the weighted mean temperature (tm) with the aid of machine learning and NWP model

All Earth
An accurate calculation of weighted mean temperature (Tm) is highly critical for global navigation satellite system (GNSS) based precipitable water vapour retrieval.
Mingyun Hu, Junyu Li, Chaolong Yao, Feijuan Li, Lilong Liu, Liangke Huang, Yuxin Wang   +6 more
doaj   +1 more source

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

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 Self-Supervised Uncertainty-Hybrid Machine Learning Approach for Modeling Tropospheric Zenith Wet Delay

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith wet delay (ZWD) is one of the major sources of errors in the Global Navigation Satellite System (GNSS) positioning. Existing machine learning (ML) based ZWD models have limitations in their generalization capabilities and in modeling the high ...
Mohamed H. Sharouda, Weixing Zhang, Zhixiang Mo, Mohamed M. Elisy, Hongxing Sun, Mohamed Hosny, Yidong Lou   +6 more
doaj   +1 more source

Optimization and Construction of Jinan Regional Tm Model Based on LSTM and Analysis of Its Influence on the Accuracy of GNSS Inversion PWV

Atmosphere
Water vapor constitutes a vital component of atmospheric precipitation, serving as the fundamental material basis for weather phenomena such as rainfall, and is a significant factor contributing to extreme weather events.
Shukai Wang, Qiuying Guo, Guihong Hua, Yingjun Sun, Wengang Sang, Zhengyu Wang   +5 more
doaj   +1 more source