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Dragisa Miskovic

As seen in: Royal Society of Chemistry
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Articles

[2502.19115] Improving customer service with automatic topic detection in user emails

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By Darija Medvecki, Dragisa Miskovic, Gorana Gojić, Milena Oparnica
| arxiv.org
arXiv:2502.19115 (cs) View PDF Comments: Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) Cite as: arXiv:2502.19115 [cs.CL] (or arXiv:2502.19115v1 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2502.19115 Submission history From: Bojana Bašaragin Dr [ view email] [v1] Wed, 26 Feb 2025 13:10:38 UTC (331 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is...
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Advancing microfluidic design with machine learning: a Bayesian optimization approach

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By Ivana Kundacina, Vasa Radonic, Ognjen Kundacina, Dragisa Miskovic
| Royal Society of Chemistry Verified
Advancing microfluidic design with machine learning: a Bayesian optimization approach† Microfluidic technology, which involves the manipulation of fluids in microchannels, faces challenges in channel design and performance optimization due to its complex, multi-parameter nature. Traditional design and optimization approaches usually rely on time-consuming numerical simulations, or on trial-and-error methods, which entail high costs associated with experimental evaluations.
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