dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
PROGRAM MANAGEMENT OF CONSTRUCTION PROJECTS: AN ACTION RESEARCH
Effective governance of a program of construction projects is essential to reach its intended objectives and benefits. The literature has reported several key challenges, including adopting Project Management Information Systems (PMIS), utilising risk ...
di Napoli C., De Marco A., Rebuglio M.
core
Predictive association between control measures and chikungunya fever incidence based on random forest and SHAP analysis. [PDF]
Chen F +10 more
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Designing a provider-led multimorbidity care model for fragmented insurance-based health systems: A mixed-methods study in Colombia. [PDF]
Valencia O, Bernal O.
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
Development and validation of an effectiveness evaluation scale for low-carbon construction technologies in building engineering based on multi-stage empirical evidence. [PDF]
Su Y, Sun Z, Liu J, Zheng Z.
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
Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis. [PDF]
Alotaibi A +4 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

