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Now showing items 11-13 of 13
Application of artificial neural networks for hydrological modelling in karst
(Union of Croatian Civil Engineers and Technicians, 2018)
The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural ...
Work cycle based scheduling
(Croatian Association of Civil Engineers, 2013)
The paper proposes a new approach to short-term scheduling based on spatial and technological cycles, continuous crew flows and daily scheduling, named WCBS (Work Cycle Based Scheduling). Application of WCBS is shown on a ...
Application of particle swarms for project time-cost optimization
(Union of Croatian Civil Engineers and Technicians, 2014)
The time-cost optimization of a construction project, as related to the costs of its activities and the total project realization costs, is considered in this paper. Direct and indirect costs, durations of all activities, ...