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Palabras clave – provistas por la editorial

distributor’s pallet loading problem; heuristics; bin packing; real-life instances; emergency medical services; emergency medicine; decision-support system; pre-hospital emergency care; ambulance response time; machine learning; geo-indistinguishability; differential privacy; privacy-preserving machine learning; input perturbation; estimation of distribution algorithm; Mallows model; moth-flame algorithm; job shop scheduling problem; quay crane scheduling problem; first-passage time; Markov chain; queueing theory; simulation; OR in health services; KPI; wind energy; wind turbine blades; erosion; modal analysis; aerodynamic analysis; AutoML; feature selection; fault severity assessment; gearboxes; XGBoost classifiers; autism; attention; ASD; learning activities; EEG; BCI; features; artificial intelligence; Grouping Genetic Algorithm; variable decomposition; Large-Scale Constrained Optimization; DVT; early diagnosis; machine-learning; smart system; embedded system; edge computing; edge device; OpenFOAM; CFD; ANFIS; ANFIS (GA); ANFIS (PSO); ANFIS (FFA); nonlinear programming; largest small polygons (LSP); {LSP(n)} model-class; optimal area sequence {A(n)}; revised LSP model; mathematica model development environment; IPOPT solver engine; numerical optimization results and regression model for estimating {A(n)}; n/a