AN IMPROVED PERFORMANCE OF GREEDY HEURISTIC SOLUTIONS FOR A BI-CRITERIA MIXTURE PACKAGING PROBLEM OF TWO TYPES OF ITEMS WITH BOUNDED WEIGHTS

An improved performance of greedy heuristic solutions for a bi-criteria mixture packaging problem of two types of items with bounded weights

In this paper, we treat a lexicographic bi-criteria combinatorial optimization model of mixture packaging of two types of items, which arises in actual food packing XLR/Speakon Connectors systems, so-called multi-head weighers.The primary objective is to minimize the total weight of chosen items for a package, and the second objective is to maximiz

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Performance Estimation of Fixed-Wing UAV Propulsion Systems

The evaluation of propulsion systems used in UAVs is of paramount importance to enhance the flight endurance, increase the flight control XLR/Speakon Connectors performance, and minimize the power consumption.This evaluation, however, is typically performed experimentally after the preliminary hardware design of the UAV is completed, which tends to

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Diagnostic accuracy of loop-mediated isothermal amplification (LAMP) for screening patients with imported malaria in a non-endemic setting

Background: Sensitive and easy-to-perform methods for the diagnosis of malaria are not yet L-Ornithine available.Improving the limit of detection and following the requirements for certification are issues to be addressed in both endemic and non-endemic settings.The aim of this study was to test whether loop-mediated isothermal amplification of DNA

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Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling

Herein, we propose a new deep neural network model based on invariant information clustering (IIC), proposed by Ji et al., to improve the modeling performance of the leave-one-site-out cross-validation (LOSO-CV) for a multi-source dataset.Our Extended IIC (EIIC) is a type of contrastive learning; however, unlike the original IIC, it is characterize

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