Results 191 to 200 of about 2,043,579 (311)

Differential diagnosis of eczema and psoriasis using routine clinical data and machine learning: development of a web-based tool in a multicenter outpatient cohort. [PDF]

Front Med (Lausanne)
Ding N, Li Y, Zhao Z, Meng X, Sun M, Ren X, Wang Y.   +6 more
europepmc   +1 more source

Internet Technology and Lifelong Learning

, 2009
This is a text version of an online distance-learning course produced in 2004. It is deposited here now (July 2009) for archive purposes. It was originally intended for the professional development of staff involved in any way with the management, design
Martin Counihan, DEALL (Distance Education about Lifelong Learning), Maine Learning Ltd.   +2 more
core  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Predicting ACL Reconstruction Failure with Machine Learning: Development of Machine Learning Prediction Models. [PDF]

Orthop J Sports Med
Alaiti RK, Vallio CS, da Silva AGM, Gobbi RG, Pécora JR, Helito CP.   +5 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Automated scan quality evaluation for DDH using transfer learning: Development of a novel ensemble system. [PDF]

PLoS One
Ko YK, Lee SB, Lee SW.
europepmc   +1 more source

NGOs in Development

, 2001
The inaugural issue of the SIT Occasional Papers Series, published in Spring 2000 and titled “About Our Institution,” was dedicated to telling the story of World Learning by providing a comprehensive view of this fascinating organization. For many, World
World Learning
core  

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Letter to 'Automated CT image prescription of the gallbladder using deep learning: Development, evaluation, and health promotion'. [PDF]

Acute Med Surg
Daungsupawong H, Wiwanitkit V.
europepmc   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source