Results 231 to 240 of about 3,497,223 (309)
Distributed quantile regression for big data with missing covariates. [PDF]
Fan Y, Zhou H, Zhou J, Tong T, Lin N.
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
Comparative Evaluation of Machine Learning Algorithms for Fault Diagnosis in Automotive Press Lines. [PDF]
Oner AE, Bayraktar M.
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
Influence of repetitive diamond bur use on the trueness and surface roughness of subtractively manufactured PICN restorations. [PDF]
Liu X +5 more
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
Retraction Note: An experimental investigation of unique high stepup boost converter for electric vehicle and solar photovoltaic. [PDF]
Mariprasath T +7 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
Real-time black-box optimization for dynamic discrete environments using embedded Ising machines. [PDF]
Kashimata T +3 more
europepmc +1 more source

