Application of deep metric learning to molecular graph similarity. [PDF]
Coupry DE, Pogány P.
europepmc +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Human motion similarity evaluation based on deep metric learning. [PDF]
Zhang Y, Nie L.
europepmc +1 more source
Deep metric learning for few-shot X-ray image classification
Prokop J +3 more
europepmc +1 more source
Few-Shot Fine-Grained Forest Fire Smoke Recognition Based on Metric Learning. [PDF]
Sun B, Cheng P, Huang Y.
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants. [PDF]
Guo Y +7 more
europepmc +1 more source
Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. [PDF]
Duncanson KA +6 more
europepmc +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
An Anomaly Node Detection Method for Wireless Sensor Networks Based on Deep Metric Learning with Fusion of Spatial-Temporal Features. [PDF]
Wang Z, Ye M, Cheng J, Zhu C, Wang Y.
europepmc +1 more source

