Results 161 to 170 of about 64,270 (302)
Advanced Intelligent Discovery, EarlyView.Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
From Conventional OSCE to Virtual Reality-Enhanced OSCE: A Narrative Review of Promise and Pitfalls in Medical Education. [PDF]
Adv Med Educ PractZhang X, Lyu X, Weng X, Zhou Y.
europepmc +1 more source
VIRTUAL LEARNING ENVIRONMENT AND VIRTUAL REALITY FOR LEARNING ENGLISH
, 2023 M. Opyr +2 more
openalex +2 more sources
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 +8 more
wiley +1 more source
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 +4 more
wiley +1 more source
Seeing through the virtual reality: the effects of learning environment and task difficulty on difficulty perception, learning outcomes and mental models. [PDF]
Front PsycholShan M, Du S, Shangguan C, Li 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
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 +4 more
wiley +1 more source