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Furkan Elmaz

interuniversity microelectronics centre

9H-index
28Paper Count
771Citation Count
Published Papers 10
Publication Date
A hybrid predictive modeling approach for catalyzed polymerization reactors
err2024-11-01
err0
errOAAI
errSobhani, Omid; Toliati, Hamid; Elmaz, Furkan; Gerdposhteh, Shahab Pormoradi; Carius, Benedict; Mets, Kevin; Mercelis, Siegfried
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Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders
err2024-05-01
err2
PREAI
errWu, Min; Di Caprio, Ulderico; Van der Ha, Olivier; Metten, Bert; De Clercq, Dries; Elmaz, Furkan; Mercelis, Siegfried; Hellinckx, Peter; Braeken, Leen; Vermeire, Florence; Leblebici, M. Enis
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SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes
err2023-11-01
err0
errOAAI
errWu, Min; Di Caprio, Ulderico; Elmaz, Furkan; Vermeire, Florence; Metten, Bert; Van Der Ha, Olivier; De Clercq, Dries; Mercelis, Siegfried; Hellinckx, Peter; Braeken, Leen; Leblebici, M. Enis
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Hybrid modelling of a batch separation process
err2023-09-01
err4
errOAAI
errDi Caprio, Ulderico; Wu, Min; Elmaz, Furkan; Wouters, Yentl; Vandervoort, Niels; Anwar, Ali; Mercelis, Siegfried; Waldherr, Steffen; Hellinckx, Peter; Leblebici, M. Enis
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Reinforcement learning-based approach for optimizing solvent-switch
err2023-08-01
err5
errOAAI
errElmaz, Furkan; Di Caprio, Ulderico; Wu, Min; Wouters, Yentl; Van Der Vorst, Geert; Vandervoort, Niels; Anwar, Ali; Leblebici, M. Enis; Hellinckx, Peter; Mercelis, Siegfried
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CNN-LSTM architecture for predictive indoor temperature modeling
err2021-12-01
err122
errOAAI
errElmaz, Furkan; Eyckerman, Reinout; Casteels, Wim; Latre, Steven; Hellinckx, Peter
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Classification of solid fuels with machine learning
errFUEL
IF7.5
err2020-04-01
err34
PREAI
errElmaz, Furkan; Buyukcakir, Barkin; Yucel, Ozgun; Mutlu, Ali Yener
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Predictive modeling of biomass gasification with machine learning-based regression methods
errENERGY
IF9.4
err2020-01-01
err166
PREAI
errElmaz, Furkan; Yucel, Ozgun; Mutlu, Ali Yener
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