Results 171 to 180 of about 1,257,183 (296)
Project scheduling under undertainty – survey and research potentials. [PDF]
The vast majority of the research efforts in project scheduling assume complete information about the scheduling problem to be solved and a static deterministic environment within which the pre-computed baseline schedule will be executed. However, in the
Herroelen, Willy, Leus, Roel
core
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley +1 more source
Novel quality of service-oriented Spark job scheduler
Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. The cloud can provide on-demand and pay-as-you-go computing resources to satisfy the users’ requirements.
HE Yulin +3 more
doaj
Work scheduling through communication tools and job satisfaction: The roles of work-family conflict and perceived work pressure. [PDF]
Sun Z +5 more
europepmc +1 more source
Local search performance guarantees for restricted related parallel machine scheduling [PDF]
We consider the problem of minimizing the makespan on restricted related parallel machines. In restricted machine scheduling each job is only allowed to be scheduled on a subset of machines. We study the worst-case behavior of local search algorithms. In
Recalde Diego +3 more
core
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
A novel quality of service-oriented Spark job scheduler
Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. The cloud can provide on-demand and pay-as-you-go computing resources to satisfy the users’ requirements.
HE Yulin +3 more
doaj

