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Towards sophisticated decision models: Nonadditive robust ordinal regression for preference modelingThis paper addresses a methodology for decision support under multiple and correlated decision
Cross-Validation Comparison of COVID-19 Forecast Models.Many papers have proposed forecasting models and some are accurate and others are not. Due
The Use of Deterministic Mathematical Modeling for the Prediction of Dynamic Geophysical Processes moments of time. There have been multiple attempts to construct such models but their predicting value
Empowering the Internet of Things Using Light Communication and Distributed Edge Computing computing. For dense deployment situations, a proof-of-concept of the created model is presented. The Li
MULTIPARTY ARBITRATION. MULTIPLE PARTIES, MULTIPLE PROBLEMSMULTIPARTY ARBITRATION. MULTIPLE PARTIES, MULTIPLE PROBLEMS
Trap-controlled proton hopping: interpretation of low-temperature dielectric relaxation of ice Ih defects. Using the multiple-trapping model an expression for the dielectric relaxation time is obtained
Search for new phenomena with large jet multiplicities and missing transverse momentum using large-radius jets and flavour-tagging at ATLAS in 13 TeV pp collisionsA search is presented for particles that decay producing a large jet multiplicity and invisible
Multiple calcium binding sites make calmodulin multifunctional interactions selectively regulate the activities of multiple protein targets. In this paper, we focus
The interaction between viral and environmental risk factors in the pathogenesis of multiple sclerosis© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Multiple sclerosis (MS) is a chronic
A model for predicting heavy metal concentrations in soils, it is relevant to carry out multiple parameter analyses of soil concentrations and to take into account a variety
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