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Comparing machine learning and artificial neural network models in psychological research: a ROC-based analysis. [PDF]
Front PsycholLeitner ML, Arendasy M.
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Estimating prevalence and predictors of glucose-lowering overtreatment among older adults with type 2 diabetes in long-term care and community settings: a machine learning-based cohort study. [PDF]
BMJ OpenCarney G +5 more
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Comparison of logistic regression and machine learning methods for predicting early neurological deterioration after thrombolysis in patients with mild stroke. [PDF]
Front NeurolLou C, Zhang M, Li J, Xu D.
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International Journal of Physical Distribution & Materials Management, 1978
In a logistics system the number of possible applications of qualitative and quantitative modelling efforts is practically infinite. The situations or problems which can be analysed range from micro operations (e.g., analysing alternative order picking systems) to macro planning issues (e.g., determining the number and location of warehouses to be ...
Robert G. House, Jeffrey J. Karrenbauer
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In a logistics system the number of possible applications of qualitative and quantitative modelling efforts is practically infinite. The situations or problems which can be analysed range from micro operations (e.g., analysing alternative order picking systems) to macro planning issues (e.g., determining the number and location of warehouses to be ...
Robert G. House, Jeffrey J. Karrenbauer
openaire +1 more source
2009 Third Asia International Conference on Modelling & Simulation, 2009
This paper propose an innovative simulation model based on web technologies devoted to analyze environmental impact of the whole supply chain. The authors developed a whole framework for collecting data from different users including good producers, logistics operators and retailers by a web questionnaire; this service is automatically integrated with ...
BRUZZONE, AGOSTINO +3 more
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This paper propose an innovative simulation model based on web technologies devoted to analyze environmental impact of the whole supply chain. The authors developed a whole framework for collecting data from different users including good producers, logistics operators and retailers by a web questionnaire; this service is automatically integrated with ...
BRUZZONE, AGOSTINO +3 more
openaire +1 more source