Results 51 to 60 of about 776 (171)
Abstract Real‐time water vapor monitoring is critical for meteorological applications such as weather forecasting and nowcasting. However, accurate real‐time retrieval of precipitable water vapor (PWV) from Global Navigation Satellite Systems (GNSS) remains challenging, especially for GNSS stations lacking meteorological sensors.
Wenjie Yin +10 more
wiley +1 more source
Background: Manual dexterity is the ability to manipulate objects using the hands and fingers for a specific task. Although manual dexterity is widely investigated in the general and special population at all ages, numerous aspects still remain to be ...
Valerio Giustino +12 more
doaj +1 more source
Lexical Traces of AI: Linguistic Impact of Generative Tools in Academic Abstracts
ABSTRACT The widespread availability of generative AI tools is reshaping scholarly discourse at a linguistic level. This study investigates the diffusion of AI‐associated vocabulary in abstracts indexed in Scopus, focusing on post‐2022 patterns that emerged after the public release of tools such as ChatGPT.
Rubén Comas Forgas +3 more
wiley +1 more source
Design of text generator application with OpenAI GPT-3
The increasing need for text content creation today challenges the development of systems that can alleviate the need for text creation. Currently, text generation is done manually and has various shortcomings, especially in terms of time constraints ...
Kaira Milani Fitria
doaj +1 more source
Author Correction: Loneliness and suicide mitigation for students using GPT3-enabled chatbots [PDF]
Maples B, Cerit M, Vishwanath A, Pea R.
europepmc +3 more sources
MSWD: A Hybrid Machine‐Learning Framework for Slant Wet Delay Modeling
Abstract Space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI) are limited by direction‐dependent tropospheric delays, with slant wet delay (SWD) being the most variable component and a major error source.
Zhenyi Zhang, Benedikt Soja
wiley +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew +3 more
wiley +1 more source
A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval
Abstract Global Navigation Satellite Systems (GNSS) provide an effective means for remote sensing of precipitable water vapor (PWV). However, conventional GNSS‐based PWV retrieval approaches rely heavily on auxiliary meteorological parameters, which are frequently unavailable in real time, while most direct retrieval methods use station data aggregated
Zhouao Zheng +7 more
wiley +1 more source
Exploring Influence Factors on LLM Suitability for No‐Code Development of End User Applications
ABSTRACT Context/Problem Statement No‐Code Development Platforms (NCDPs) empower non‐technical end users to build applications tailored to their specific demands without writing code. While NCDPs lower technical barriers, users still require some technical knowledge, for example, to structure process steps or define event‐action rules.
Minghe Wang +4 more
wiley +1 more source
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik +5 more
wiley +1 more source

