Results 221 to 230 of about 210,501 (299)
Visual state estimation in unseen environments through domain adaptation and metric learning. [PDF]
Güler P, Stork JA, Stoyanov T.
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Meniscus injury prediction model based on metric learning. [PDF]
Wang Y +7 more
europepmc +1 more source
Graph metric learning quantifies morphological differences between two genotypes of shoot apical meristem cells in Arabidopsis. [PDF]
Braker Scott C +5 more
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Difficult Airway Assessment Based on Multi-View Metric Learning. [PDF]
Wu J, Yao Y, Zhang G, Li X, Peng B.
europepmc +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Interpretable metric learning in comparative metagenomics: The adaptive Haar-like distance. [PDF]
Gorman ED, Lladser ME.
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
CMCS: contrastive-metric learning via vector-level sampling and augmentation for code search. [PDF]
Song Q, Hu H, Dai T.
europepmc +1 more source

