abstract in this work, the dry reforming of methane was studied using a corona and glow discharge plasma microreactors. a chemical kinetic model was developed to understand the reaction better. the modelization allowed prediction of the reactants conversion according to the energy transfer to the gas (p×τ). the β value is trait of the energy cost, whatever this value was leeser indicated better...

background : in medical studies, when the joint prediction about occurrence of two events should be anticipated, a statistical bivariate model is used. due to the limitations of usual statistical models, other methods such as artificial neural network (ann) and hybrid models could be used. in this paper, we propose a hybrid artificial neural network-genetic algorithm (ann-ga) model to predictio...

Engineering structures are usually exposed to cyclic multiaxial loading and subsequently to multiaxial fatigue. Different models and criteria with various capabilities have been proposed for predicting of multiaxial fatigue life. Selection of proper model by considering material, type of loading and operation condition of each engineering structure is a challenging issue of the life prediction ...

background: predicting the methane percentage of biogas is necessary for selecting the optimized technologies of using landfill biogas for energy. the aim of this study was to predict of methane fraction in biogas from landfill bioreactors by artificial neural network (ann) modeling. methods: in this study, two different systems were applied to predict the methane fraction in landfill gas as a ...

As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...

a novel approach to determine optimal sampling locations under parameter uncertainty in a water distribution system (wds) for the purpose of its hydraulic model calibration is presented. the problem is formulated as a multi-objective optimisation problem under calibration parameter uncertainty. the objectives are to maximise the calibrated model accuracy and to minimise the number of sampling d...