Results 41 to 50 of about 428 (156)

Manual dexterity in school-age children measured by the Grooved Pegboard test: Evaluation of training effect and performance in dual-task

Heliyon, 2023
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, Antonino Patti, Luca Petrigna, Flavia Figlioli, Ewan Thomas, Vincenza Costa, Luigi Galvano, Jessica Brusa, Domenico Savio Salvatore Vicari, Simona Pajaujiene, Daniela Smirni, Antonio Palma, Antonino Bianco   +12 more
doaj   +1 more source

Real-time retrieval of high-precision ZTD maps using GNSS observation

Geodesy and Geodynamics
Zenith Tropospheric Delay (ZTD) is an important factor that restricts the high-precision positioning of global navigation satellite system (GNSS), and it is of great significance in establishing a real-time and high-precision ZTD model. However, existing
Qingzhi Zhao, Wei Wang, Jinfang Yin, Kan Wu, Lv Zhou, Yibin Yao, Pengcheng Wang, Jing Su, Xiaocheng Wang, Han Wang, Jia Bao, Yumeng Hu, Zhou Zhuo, Yuting Gao   +13 more
doaj   +1 more source

GPT3 as a Lexical Knowledge Base for Portuguese?

, 2023
We test the GPT3 language model in zero- and few-shot acquisition of lexico-semantic knowledge in Portuguese, with simple instruction prompts, and compare it with a BERT-based approach. Results are assessed in two test sets: TALES and the Portuguese translation of BATS.
Oliveira, Hugo Gonçalo, Rodrigues, Ricardo   +1 more
openaire   +1 more source

MSWD: A Hybrid Machine‐Learning Framework for Slant Wet Delay Modeling

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
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

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
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, Md Rabiul Hasan, Tapio Seppänen, Mourad Oussalah   +3 more
wiley   +1 more source

A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
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, Haoyu Wang, Liangke Huang, Ziwei Li, Haojun Li, Hongxing Zhang, Junyu Li, Lilong Liu   +7 more
wiley   +1 more source

Design of text generator application with OpenAI GPT-3

Journal of Electrical Engineering and Computer, 2023
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

Exploring Influence Factors on LLM Suitability for No‐Code Development of End User Applications

Software: Practice and Experience, Volume 56, Issue 1, Page 96-118, January 2026.
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, Alexandra Kapp, Trever Schirmer, Tobias Pfandzelter, David Bermbach   +4 more
wiley   +1 more source

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
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, Hafiz Abdul Muqeet, Rizwan Akram, Hafiz Muhammad Obaid, Atiq ur Rehman, Amine Bermak   +5 more
wiley   +1 more source

Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings

CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1394-1410, October 2025.
ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguistic resources, which directly leads to the difficulty ...
Ziyue Zhang, Yongbin Yu, Xiangxiang Wang, Xiao Feng, Yuze Li, Jiarun Shen, Dorje Tashi, Jin Zhang, Lobsang Yeshi, Lei Li, Nyima Tashi, Jingye Cai   +11 more
wiley   +1 more source