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Adedamola Adesokan, Rowan Kinney and Eirini Eleni Tsiropoulou
This paper tackles the challenges inherent in crowdsourcing dynamics by introducing the CROWDMATCH mechanism. Aimed at enabling crowdworkers to strategically select suitable crowdsourcers while contributing information to crowdsourcing tasks, CROWDMATCH ...
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Shang Tai, Lixin Wang, Yanling Wang, Shiguang Lu, Chen Bu and Ting Yue
In the early stages of aircraft design, a scaled model of the aircraft is installed in a wind tunnel for dynamic semi-free flight to approximate real flight, and the test data are then used to identify the aerodynamic parameters. However, the absence of ...
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Du?ko Te?ic, Marko Radovanovic, Darko Bo?anic, Dragan Pamucar, Aleksandar Milic and Adis Pu?ka
This study considers the problem of selecting an anti-tank missile system (ATMS). The mentioned problem is solved by applying a hybrid multi-criteria decision-making model (MCDM) based on two methods: the DIBR (Defining Interrelationships Between Ranked ...
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Huihui Xuan, Qing Liu, Lei Wang and Liu Yang
In the context of the decarbonization of the shipping industry, the application of clean energy technologies is a catalyst for decarbonization. With the number of potential clean energy technologies expanding, the uncertainties in terms of technology mat...
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Lev Utkin and Andrei Konstantinov
The ensemble-based modifications of the well-known SHapley Additive exPlanations (SHAP) method for the local explanation of a black-box model are proposed. The modifications aim to simplify the SHAP which is computationally expensive when there is a larg...
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Nicolas Moebs, Dominik Eisenhut, Evert Windels, Jenny van der Pols and Andreas Strohmayer
In the wake of many climate-friendly initiatives, the aviation sector must become more sustainable. A potential path for regional airliners could be the installation of hybrid-electric powertrains. In this work, a conceptual study design of various power...
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Ziquan Huang, Shichao Zheng, Dongfang Wang and Xiaogang Deng
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a new ??
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-adaptive algorithm based on local smoothness indicators is proposed. The new algorithm introduces a high-order global smoothness indicator to a...
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Kaan Yilmaz and Neil Yorke-Smith
In line with the growing trend of using machine learning to help solve combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming (MIP) branch-and-bound tree by using a learned policy. Previous...
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Monica Defend, Aleksey Min, Lorenzo Portelli, Franz Ramsauer, Francesco Sandrini and Rudi Zagst
This article considers the estimation of Approximate Dynamic Factor Models with homoscedastic, cross-sectionally correlated errors for incomplete panel data. In contrast to existing estimation approaches, the presented estimation method comprises two exp...
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Mikhail Bazilevskiy
Pág. 30 - 35
This article is devoted to one of the main problems of regression analysis ? the choice of regression model structural specification. The work is based on the linear non-elementary regressions proposed earlier by the author, which, in addition to explana...
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