Abstract: The present study developed an adaptive staff scheduling framework integrating demand time series prediction and operational optimization in sorting centers. A hybrid SARIMA (Seasonal ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results