Results 171 to 180 of about 654,348 (306)

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

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, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Teaching-learning strategies on patient safety in higher education institutions: a scoping review. [PDF]

Rev Bras Enferm
Ferreira Netto N, Paula VAA, Carneiro M, Püschel VAA, Carbogim FDC, Alvim ALS.   +5 more
europepmc   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Complete Issue Volume 12 Issue 4

Journal of the Scholarship of Teaching and Learning, 2012
Editor Journal of the Scholarship of Teaching and Learning
doaj  

Editorial: Psychological studies in the teaching, learning and assessment of mathematics. [PDF]

Front Psychol
Cao Y, An S, Lavicza Z, Dong L.
europepmc   +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

Complete Issue Volume 7 Issue 1

Journal of the Scholarship of Teaching and Learning, 2012
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

Retraction: Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Creating a Respectful Teaching and Learning Environment: A Conversation with Vanier’s Social Service Officer [PDF]

, 2018
Chwojka, Caroline, Iaboni, Ginny
core  

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source