Global ETD Search

Input variable selection for time series forecasting with artificial neural networks : an empirical evaluation across varying time series frequencies

Kourentzes, Nikolaos, Crone, Sven, Fildes, RobertLancaster University2009

… analysing the current state of the art, the modelling issues that have been solved and which are still critical for forecasting with ANNs, thereby indicating future research directions. The specification of the input vector is identified as the most crucial unresolved modelling issue for …

lancaster

A Process Modelling Framework Based on Point Interval Temporal Logic with an Application to Modelling Patient Flows

Chishti, I.University of Westminster2019

… can be instrumental in streamlining healthcare issues. Current process modelling techniques used in healthcare such as flowcharts, unified modelling language activity diagram (UML AD), and business process modelling notation (BPMN) are intuitive and imprecise. They cannot fully capture the …

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Examining permafrost detection and validation techniques in thermally complex mountainous terrain: a case study in the Ogilvie Mountains, Yukon, Canada

Nicholson, Ria E., University of Lethbridge. Faculty of Arts and Science2025

lethbridge

Managing complexity in high-concentration flow modelling aimed at hazard assessment: numerical and practical aspects

Zorzi, NadiaUniversità degli studi di Trento2017

… management, high-concentration flows modelling represents a key factor, since it allows to evaluate impacts of possible hazard scenarios and the effectiveness of possible protection and mitigation measures. However, the intrinsic phenomenon complexity makes high-concentration flow …

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