Results 161 to 170 of about 245,952 (212)
Context-informed few-shot molecular property prediction via heterogeneous meta-learning. [PDF]
Xue J, Liu J, Chen K.
europepmc +1 more source
Abstract To compare a metaverse‐based interactive virtual reality (VR) session with a conventional 2D online lecture for learning cervicofacial anatomy. Single‐center, curriculum‐embedded, nonrandomized comparative study. Fourth‐year students attended a Zoom lecture (Conventional, n = 73); sixth‐year students completed an interactive VR session using ...
Taku Ito +6 more
wiley +1 more source
MLG-STPM: Meta-Learning Guided STPM for Robust Industrial Anomaly Detection Under Label Noise. [PDF]
Huang YH, Lo SL, Chen ZQ, Wang JK.
europepmc +1 more source
Feedback strategies: Applying theory to practice
Abstract Feedback is a cornerstone of the learning process, as evidenced by extensive educational research on enhancing its process and impact. However, learners consistently rate the quality of feedback lower compared to other aspects of teaching. Over the past decade, feedback models have shifted from a traditional, one‐way transmission from educator
Jenny Clancy +2 more
wiley +1 more source
A framework reforming personalized Internet of Things by federated meta-learning. [PDF]
You L +5 more
europepmc +1 more source
Abstract Gross anatomy education has undergone significant changes due to evolving curricular demands, leading to reduced hands‐on dissection opportunities in many medical schools. The purpose of this study was to compare the academic performance of medical student dissectors and those assigned to prosection‐based learning across anatomical regions ...
Andrew J. Gaetano +5 more
wiley +1 more source
MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems. [PDF]
Hu H +5 more
europepmc +1 more source
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley +1 more source
Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving. [PDF]
Wang N.
europepmc +1 more source
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source

