Results 181 to 190 of about 74,323 (305)
Towards Workload‐Tailored Optimization of Job Scheduling Policies in HPC Environments
ABSTRACT Supercomputers play a pivotal role in advancing research and development across diverse scientific and engineering domains. However, configuring job scheduling in these systems to ensure maximum productivity and cost‐effectiveness is a challenge. Workload simulation emerges as a crucial tool in this context, offering a mechanism to explore job
João Pedro M. N. dos Santos +2 more
wiley +1 more source
Editorial: Implementing digital twins in healthcare: pathways to person-centric solutions. [PDF]
Carbonaro A +4 more
europepmc +1 more source
Génération d'ontologie à partir d'un modèle métier UML annoté
Cyril Faucher +2 more
openalex +1 more source
A GCN-based approach to uncover misaligned synonymous terms in the UMLS Metathesaurus. [PDF]
Xubing Hao +3 more
openalex
FAIR Workflows in Earth System Modelling: A Use Case With Semantic Data Management
We present a semantic research data management workflow that enables the re‐use of legacy simulation datasets in accordance with FAIR principles. The approach integrates automated semantic annotation, queryable data access, and a connected JupyterHub for FAIR‐compliant output analysis and storage of derived results. ABSTRACT The amount of research data
Sinikka T. Lennartz, Alexander Schlemmer
wiley +1 more source
Agro-morphological and molecular characterization of Amaranthus genotypes. [PDF]
Siamey J +5 more
europepmc +1 more source
Using UML for Modelling the Static Part of a Software Process
Xavier Franch, Josep M. Ribó
openalex +2 more sources
On the impact of UML analysis models on source-code comprehensibility and modifiability
G. Scanniello +4 more
semanticscholar +1 more source
ABSTRACT Introduction Persistent knowledge is essential for propagating the learning health system (LHS) cycle. Integral to the cycle are iterative transformations of data into knowledge. However, human efforts to undertake these transformations are increasingly challenged when dealing with larger data scales and complexities.
Vivek Navale
wiley +1 more source

