Search alternatives:
processing optimisation » process optimisation (Expand Search), process optimization (Expand Search), prescribing optimisation (Expand Search)
optimisation algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
estimation algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
data processing » image processing (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
based pose » based case (Expand Search), based probes (Expand Search)
processing optimisation » process optimisation (Expand Search), process optimization (Expand Search), prescribing optimisation (Expand Search)
optimisation algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
estimation algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
data processing » image processing (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
based pose » based case (Expand Search), based probes (Expand Search)
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Scheduling method for pairing night-shift and morning-shift duties on metro lines with complex structure
Published 2022“…To improve the rest time of crews, this paper proposes a binary programming model to optimise the NMDPP. Moreover, a hybrid algorithm combining General Variable Neighbourhood Search (GVNS) with an Assignment Algorithm is designed to find high-quality solutions for this problem. …”
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GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
Published 2025“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”