Results 271 to 280 of about 1,612,060 (336)

Virtual Patient Simulations Using Social Robotics Combined With Large Language Models for Clinical Reasoning Training in Medical Education: Mixed Methods Study.

J Med Internet Res
Borg A, Georg C, Jobs B, Huss V, Waldenlind K, Ruiz M, Edelbring S, Skantze G, Parodis I.   +8 more
europepmc   +1 more source

Quantifying dislocation-type defects in post irradiation examination via transfer learning. [PDF]

Sci Rep
Wu M, Sharapov J, Anderson M, Lu Y, Wu Y.   +4 more
europepmc   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

A labeled synthetic mobile money transaction dataset. [PDF]

Data Brief
Azamuke D, Katarahweire M, Bainomugisha E.   +2 more
europepmc   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source

Correction: Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study.

JMIR Serious Games
Herren S, Seebacher B, Mildner S, Riederer Y, Pachmann U, Böckler NS, Niedecken S, Alicia Sgandurra S, Bonati L, Hotz I, Schättin A, Jurt R, Brenneis C, Lenfert K, Behrendt F, Schmidlin S, Nacke L, Schuster-Amft C, Martin-Niedecken AL.   +18 more
europepmc   +1 more source

The use of deep learning and artificial intelligence-based digital technologies in art education. [PDF]

Sci Rep
Liu Y, Zhu C.
europepmc   +1 more source

Thermokinetic Modeling Approach for Aluminide Diffusion Coatings on Molybdenum Substrates

Advanced Engineering Materials, EarlyView.
The advancement of innovative materials for protective coatings in high‐temperature environments relies on a detailed understanding of diffusion processes within these systems. This article presents findings from modeling approaches, supporting the development and optimization of coating materials by focusing on the prediction of diffusion‐driven ...
Jurica Filipovic, Katharina Beck, Christian Kontermann, Mathias Galetz, Matthias Oechsner   +4 more
wiley   +1 more source

Redefining and Adapting Feedback for Mental-Imagery based Brain-Computer Interface User Training to the Learners’ Traits and States

, 2019
Léa Pillette
openalex   +1 more source

Toward brain-computer interface speller with movement-related cortical potentials as control signals. [PDF]

Front Hum Neurosci
Hernández-Gloria JJ, Jaramillo-Gonzalez A, Savić AM, Mrachacz-Kersting N.   +3 more
europepmc   +1 more source