Results 111 to 120 of about 337,305 (266)
Novel hierarchical support vector models with application to diabetes control
This study examines classification and prediction in non-separable, heterogeneous data settings, with emphasis on improving support vector–based methods.
Nadia Al Habsi +5 more
doaj +1 more source
Improving estimates of phosphorus loads using hierarchical models. [PDF]
Yuan LL.
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
Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates. [PDF]
Todem D, Hsu WW, Kim K.
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
A model-based clustering via mixture of hierarchical models with covariate adjustment for detecting differentially expressed genes from paired design. [PDF]
Zhang Y, Liu W, Qiu W.
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
Decision-making in complex environments, especially sustainable ones, requires flexible methodologies to handle multiple criteria and stakeholder perspectives.
Miguel Ângelo Lellis Moreira +4 more
doaj +1 more source
Covid-19 hospital mortality using spatial hierarchical models: cohort design with 74,994 registers. [PDF]
Chiaravalloti Neto F +5 more
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

