Results 151 to 160 of about 1,414,367 (299)
A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem. [PDF]
Moon J, Yang M, Jeong J.
europepmc +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
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
Multi-Strategy Enhanced White Shark Optimizer for Solving Job Shop Scheduling Problem. [PDF]
Cao L +5 more
europepmc +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
Contract net based scheduling approach using interactive bidding for dynamic job shop scheduling
Dynamic scheduling should take into account machine scheduling in that flexible manufacturing system can provide alternative processing routes to produce the same product.
Li, Donglai +3 more
core
An improved whale optimization algorithm for flexible job shop scheduling problems with machine deterioration effects. [PDF]
Li K, Tian S.
europepmc +1 more source
Job Shop Scheduling with Probabilistic Durations.
Proactive approaches to scheduling take into account information about the execution time uncertainty in forming a schedule. In this paper, we investigate proactive approaches for the job shop scheduling problem where activity durations are random variables.
Beck, J. Christopher, Wilson, Nic
openaire +2 more sources
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
Meta-heuristics for stable scheduling on a single machine. [PDF]
This paper presents a model for single-machine scheduling with stability objective and a common deadline. Job durations are uncertain, and our goal is to ensure that there is little deviation between planned and actual job starting times.
Ballestin, F, Leus, Roel
core

