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AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization., , , , and . CoRR, (2024)Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization., , , , and . Eng. Appl. Artif. Intell., (2025)A Machine Learning-based Algorithm for Water Network Contamination Source Localization., , , and . Sensors, 20 (9): 2613 (2020)Efficient inverse design optimization through multi-fidelity simulations, machine learning, and boundary refinement strategies., , and . Eng. Comput., 40 (6): 4081-4108 (December 2024)Machine learning based surrogate models for microchannel heat sink optimization., , and . CoRR, (2022)Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis., , , , , , , , , and 5 other author(s). Environ. Model. Softw., (2022)Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network., , , and . Sensors, 21 (1): 245 (2021)Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection., , and . Sensors, 21 (4): 1157 (2021)Numerical modeling of fluid mixing in pipe networks with machine learning applications: doctoral dissertation ; Rad ne sadrži naslov na drugom jeziku.. University of Zagreb, Croatia, (2021)base-search.net (ftnulzagrebdr:oai:dr.nsk.hr:riteh_2208).Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing., , , , , , , , and . CoRR, (2024)