Results 41 to 50 of about 258 (209)
Quality Quandaries: Forecasting with Seasonal Time Series Models
Forecasting is increasingly a part of the standard list among quality engineers specifically the domain of Six Sigma and quality engineering that deals with operational problems in manufacturing and service organizations.
Kulahci, Murat, +7 more
core +1 more source
Inferring traffic burstiness by sampling the buffer occupancy [PDF]
Common practice to determine the required bandwidth capacity for a network link is to measure the 5 minute average link load, and then add a safety margin to cater for the effect of burstiness on small time-scales.
van de Meent, Remco +7 more
core +2 more sources
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +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
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
A methodological framework for Monte Carlo probabilistic inference for diffusion processes [PDF]
The methodological framework developed and reviewed in this article concerns the unbiased Monte Carlo estimation of the transition density of a diffusion process, and the exact simulation of diffusion processes.
Papaspiliopoulos, Omiros
core
Risico en Rendement in Balans voor Verzekeraars [PDF]
Antoon Pelsser (1968) is Head of the Asset-Liability Matching department of ING-Insurance. The ALM department advises the board on the optimal asset allocation to cover the insurance liabilities.
Pelsser, Antoon +2 more
core +2 more sources
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Empiricism and stochastics in cellular automaton modeling of urban land use dynamics [PDF]
An increasing number of models for predicting land use change in regions of rapidurbanization are being proposed and built using ideas from cellular automata (CA)theory. Calibrating such models to real situations is highly problematic and to date,serious
de Almeida, C +6 more
core
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source

