Introducing languid particle dynamics to a selection of PSO variants. - Sinisa Druzeta; Stefan Ivic; Luka Grbcic; Ivana Lucin (CoRR, 2019)

A Machine Learning-based Algorithm for Water Network Contamination Source Localization. - Luka Grbcic; Ivana Lucin; Lado Kranjcevic; Sinisa Druzeta (Sensors, 2020)

Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection. - Luka Grbcic; Lado Kranjcevic; Sinisa Druzeta (Sensors, 2021)

Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network. - Ivana Lucin; Luka Grbcic; Zoran Carija; Lado Kranjcevic (Sensors, 2021)

Numerical modeling of fluid mixing in pipe networks with machine learning applications: doctoral dissertation ; Rad ne sadrži naslov na drugom jeziku. - Luka Grbcic (2021)

Predictive modeling of microbiological seawater quality classification in karst region using cascade model. - Ivana Lucin; Sinisa Druzeta; Goran Mausa; Marta Alvir; Luka Grbcic; Darija Vukic Lusic; Ante Sikirica; Lado Kranjcevic (CoRR, 2022)

Multi-UAV trajectory planning for 3D visual inspection of complex structures. - Stefan Ivic; Bojan Crnkovic; Luka Grbcic; Lea Matlekovic (CoRR, 2022)

Machine learning based surrogate models for microchannel heat sink optimization. - Ante Sikirica; Luka Grbcic; Lado Kranjcevic (CoRR, 2022)

Reconstruction and analysis of negatively buoyant jets with interpretable machine learning. - Marta Alvir; Luka Grbcic; Ante Sikirica; Lado Kranjcevic (CoRR, 2022)

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. - Luka Grbcic; Sinisa Druzeta; Goran Mausa; Tomislav Lipic; Darija Vukic Lusic; Marta Alvir; Ivana Lucin; Ante Sikirica; Davor Davidovic; Vanja Travas; Daniela Kalafatovic; Kristina Pikelj; et al. (Environ. Model. Softw., 2022)

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies. - Luka Grbcic; Juliane Müller 002; Wibe Albert de Jong (CoRR, 2023)

Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing. - Luka Grbcic; Minok Park; Mahmoud Elzouka; Ravi Prasher; Juliane Müller 002; Costas P. Grigoropoulos; Sean D. Lubner; Vassilia Zorba; Wibe Albert de Jong (CoRR, 2024)

AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization. - Luka Grbcic; Minok Park; Juliane Müller 002; Vassilia Zorba; Wibe Albert de Jong (CoRR, 2024)

Efficient inverse design optimization through multi-fidelity simulations, machine learning, and boundary refinement strategies. - Luka Grbcic; Juliane Müller 002; Wibe Albert de Jong (Eng. Comput., 2024)

Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization. - Luka Grbcic; Minok Park; Juliane Mueller 002; Vassilia Zorba; Wibe Albert de Jong (Eng. Appl. Artif. Intell., 2025)

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems. - Luka Grbcic; Juliane Mueller 002; Wibe Albert de Jong (CoRR, 2025)