2 citations · 2 across the 4 of their papers we have counts for
5 papers
Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
Ante Sikirica, Ivana Lučin, Marta Alvir +2
This study aims to provide a comprehensive assessment of single-objective and multi-objective optimisation algorithms for the design of an elbow-type draft tube, as well as to intr…
Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
Marta Alvir, Luka Grbčić, Ante Sikirica +1
In this paper, negatively inclined buoyant jets, which appear during the discharge of wastewater from processes such as desalination, are observed. To minimize harmful effects and…
Machine learning based surrogate models for microchannel heat sink optimization
Ante Sikirica, Luka Grbčić, Lado Kranjčević
Microchannel heat sinks are an efficient cooling method for semiconductor packages. However, to properly cool increasingly complex and thermally dense circuits, microchannel design…
Predictive modeling of microbiological seawater quality classification in karst region using cascade model
Ivana Lučin, Siniša Družeta, Goran Mauša +5
In this paper, an in-depth analysis of Escherichia coli seawater measurements during the bathing season in the city of Rijeka, Croatia was conducted. Submerged sources of groundwat…
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Luka Grbčić, Siniša Družeta, Goran Mauša +12
Coastal water quality management is a public health concern, as poor coastal water quality can harbor pathogens that are dangerous to human health. Tourism-oriented countries need…