Results 61 to 70 of about 23,670,881 (172)

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

Comparative analysis of paraphrasing performance of ChatGPT, GPT‐3, and T5 language models using a new ChatGPT generated dataset: ParaGPT

Expert Systems, Volume 41, Issue 11, November 2024.
Abstract Paraphrase generation is a fundamental natural language processing (NLP) task that refers to the process of generating a well‐formed and coherent output sentence that exhibits both syntactic and/or lexical diversity from the input sentence, while simultaneously ensuring that the semantic similarity between the two sentences is preserved ...
Meltem Kurt Pehlivanoğlu, Robera Tadesse Gobosho, Muhammad Abdan Syakura, Vimal Shanmuganathan, Luis de‐la‐Fuente‐Valentín   +4 more
wiley   +1 more source

How to optimize the systematic review process using AI tools

JCPP Advances, Volume 4, Issue 2, June 2024.
Abstract Systematic reviews are a cornerstone for synthesizing the available evidence on a given topic. They simultaneously allow for gaps in the literature to be identified and provide direction for future research. However, due to the ever‐increasing volume and complexity of the available literature, traditional methods for conducting systematic ...
Nicholas Fabiano, Arnav Gupta, Nishaant Bhambra, Brandon Luu, Stanley Wong, Muhammad Maaz, Jess G. Fiedorowicz, Andrew L. Smith, Marco Solmi   +8 more
wiley   +1 more source

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Addiction, Volume 119, Issue 5, Page 951-959, May 2024.
Abstract A vast amount of media‐related text data is generated daily in the form of social media posts, news stories or academic articles. These text data provide opportunities for researchers to analyse and understand how substance‐related issues are being discussed. The main methods to analyse large text data (content analyses or specifically trained
Benjamin Riordan, Abraham Albert Bonela, Zhen He, Aiden Nibali, Dan Anderson‐Luxford, Emmanuel Kuntsche   +5 more
wiley   +1 more source

Current applications and future potential of ChatGPT in radiology: A systematic review

Journal of Medical Imaging and Radiation Oncology, Volume 68, Issue 3, Page 257-264, April 2024.
Summary This study aimed to comprehensively evaluate the current utilization and future potential of ChatGPT, an AI‐based chat model, in the field of radiology. The primary focus is on its role in enhancing decision‐making processes, optimizing workflow efficiency, and fostering interdisciplinary collaboration and teaching within healthcare.
Hugo C Temperley, Niall J O'Sullivan, Benjamin M Mac Curtain, Alison Corr, James F Meaney, Michael E Kelly, Ian Brennan   +6 more
wiley   +1 more source

Improved Zenith Tropospheric Delay Modeling Using the Piecewise Model of Atmospheric Refractivity

Remote Sensing, 2020
As one of the atmosphere propagation delays, the tropospheric delay is a significant error source that should be properly handled in high-precision global navigation satellite system (GNSS) applications.
Liu Yang, Jingxiang Gao, Dantong Zhu, Nanshan Zheng, Zengke Li   +4 more
doaj   +1 more source

Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions

Intelligent Systems in Accounting, Finance and Management, Volume 31, Issue 1, March 2024.
Summary Advances in Deep Learning have drastically improved the abilities of Natural Language Processing (NLP) research, creating new state‐of‐the‐art benchmarks. Two research streams at the forefront of NLP analysis are transformer architecture and multimodal analysis.
Andrew Todd, James Bowden, Yashar Moshfeghi   +2 more
wiley   +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

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

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
semanticscholar   +1 more source