| Investigation of the slow pyrolysis kinetics of olive oil pomace using thermo-gravimetric analysis coupled with mass spectrometry U Özveren, ZS Özdoğan Biomass and Bioenergy 58, 168-179, 2013 | 51 | 2013 |
| An artificial intelligence approach to predict gross heating value of lignocellulosic fuels U Ozveren Journal of the Energy Institute 90 (3), 397-407, 2017 | 23 | 2017 |
| An artificial intelligence approach to predict a lower heating value of municipal solid waste U Ozveren Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 38 …, 2016 | 7 | 2016 |
| Pem yakıt hücrelerinin yapay sinir ağları ile modellenmesi U Özveren | 6 | 2006 |
| A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus® F Kartal, U Özveren Energy 209, 118457, 2020 | 5 | 2020 |
| Theoretical and experimental investigation of biomass and coal gasification U Özveren Marmara Üniversitesi, 2013 | 4 | 2013 |
| A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS F Kartal, U Özveren Bioresource Technology Reports 13, 100615, 2021 | 2 | 2021 |
| T G-MS ve FTIR Kullanılarak Fındık Kabuğunun Gazlaştırılmasının İncelenmesi U Özveren, D Bozdağ, S Şahin, S Özdoğan Onuncu Ulusal Kimya Mühendisliği Kongresi, 3-6, 2012 | 2 | 2012 |
| The investigation of co-combustion process for synergistic effects using thermogravimetric and kinetic analysis with combustion index S Sezer, F Kartal, U Özveren Thermal Science and Engineering Progress 23, 100889, 2021 | | 2021 |
| Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning S Sezer, U Özveren International Journal of Hydrogen Energy, 2021 | | 2021 |
| Investigation of Hazelnut Husk Combustion by using A Novel Non-linear Kinetic Model through Thermogravimetric Analysis S SEZER, U ÖZVEREN Sakarya University Journal of Science 25 (2), 42-54, 2021 | | 2021 |
| Synthesis of Polyaniline/Biochar composite material and modeling with nonlinear model for removal of copper (II) heavy metal ions H YAKIŞIK, U ÖZVEREN Journal of the Turkish Chemical Society Section A: Chemistry 8 (1), 291-304, 2021 | | 2021 |
| Investigation of Çan Coal Gasification in Entrained Flow Gasifier by using Aspen PLUS® F Kartal, Ş Cingisiz, U Özveren Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 23 …, 2021 | | 2021 |
| Prediction of NOx Emissions with A Novel ANN Model in Adana S Sezer, H YAKIŞIK, F Kartal, NN FUÇUCU, Y DALBUDAK, S YAŞAR, ... Hittite Journal of Science and Engineering 7 (4), 265-270, 2020 | | 2020 |
| Energy and Exergy Analysis on Bubbling Fluidized Bed Gasifier Using Aspen Plus Simulation S Sezer, U Özveren Journal of the Turkish Chemical Society Section B: Chemical Engineering 3 (2 …, 2020 | | 2020 |
| An artificial intelligence approach to predict a lower heating value of municipal solid waste U ÖZVEREN | | 2016 |
| Investigation of the slow pyrolysis kinetics of olive oil pomace using thermo-gravimetric analysis coupled with mass spectrometry ZS Özdoǧan, U Özveren | | 2013 |
| Investigation of the pyrolysis and gasification of a Turkish coal using thermal analysis coupled with mass spectrometry M Beypinar, A Boztepe, U Özveren, S Özdoǧan | | 2010 |
| Simulation of rice straw gasification in bubbling bed reactor using ASPEN PLUS S Sezer, U Özveren International Journal of Engineering and Natural Sciences (IJENS), Vol. 2 …, 0 | | |
| Prediction of Volatile Matter for Biomass Fuels by Using Artificial Neural Networks H Yakışık, S Yaşar, Y Dalbudak, U Özveren | | |
