Results 211 to 220 of about 890,275 (337)

Case study on the use of mobile technology in accessing virtual learning environment in postgraduate medical education. [PDF]

BMJ Simul Technol Enhanc Learn, 2018
Iskander M.
europepmc   +1 more source

Building a Personalized Learning Model in a Virtual Environment for Learning the Kazakh Language [PDF]

А. Н. Сыдыков
openalex   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Pedagogical mediation using the virtual learning environment and the new generation: A search for improved performance in medical education. [PDF]

J Adv Med Educ Prof, 2018
Afonso JS, Martins PS, Barbosa GF, Ferreira L, Girao MJBC.   +4 more
europepmc   +1 more source

VIRTUAL LEARNING ENVIRONMENT AND VIRTUAL REALITY FOR LEARNING ENGLISH

, 2023
M. Opyr, S.B. Panchyshyn, S.R. Dobrovolska   +2 more
openalex   +2 more sources

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Virtual environments of teaching and learning. Content to systematize the process of professional development of teachers

, 2016
Felipe Manuel León-Cáceres, José Raúl Moracén-Cuevas, Ana Norvis Caballero-Rodríguez   +2 more
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Classical Heritage and Text-Based Second Language Learning in Three-Dimensional Virtual Library Environment.

, 2020
István Károly Boda, Erzsébet Tóth
openalex   +1 more source