Modeling Microwave Drying Kinetics of Thyme (Thymus Vulgaris L.) Leaves Using ANN Methodology and Dried Product Quality A Sarimeseli, MA Coskun, M Yuceer Journal of Food Processing and Preservation 38 (1), 558-564, 2014 | 52 | 2014 |
Application of artificial intelligence in modeling of the doxorubicin release behavior of pH and temperature responsive poly (NIPAAm-co-AAc)-PEG IPN hydrogel C Boztepe, A Künkül, M Yüceer Journal of Drug Delivery Science and Technology 57, 101603, 2020 | 51 | 2020 |
Modeling of drug release behavior of pH and temperature sensitive poly (NIPAAm-co-AAc) IPN hydrogels using response surface methodology and artificial neural networks S Brahima, C Boztepe, A Kunkul, M Yuceer Materials Science and Engineering: C 75, 425-432, 2017 | 39 | 2017 |
Kinetic and artificial neural network modeling techniques to predict the drying kinetics of Mentha spicata L. N Karakaplan, E Goz, E Tosun, M Yuceer Journal of Food Processing and Preservation 43 (10), e14142, 2019 | 38 | 2019 |
An artificial neural network model for the effects of chicken manure on ground water E Karadurmus, M Cesmeci, M Yuceer, R Berber Applied Soft Computing 12 (1), 494-497, 2012 | 38 | 2012 |
A large-scale measurement, analysis and modelling of electromagnetic radiation levels in the vicinity of GSM/UMTS base stations in an urban area T Karadağ, M Yüceer, T Abbasov Radiation Protection Dosimetry 168 (1), 134-147, 2016 | 37 | 2016 |
Simulation of river streams: Comparison of a new technique with QUAL2E M Yuceer, E Karadurmus, R Berber Mathematical and Computer Modelling 46 (1-2), 292-305, 2007 | 28 | 2007 |
Investigation of infrared drying behaviour of spinach leaves using ANN methodology and dried product quality A Sarimeseli, M Yuceer Chemical and Process Engineering 36 (4), 425-436, 2015 | 27 | 2015 |
Prediction of the deswelling behaviors of pH-and temperature-responsive poly (NIPAAm-co-AAc) IPN hydrogel by artificial intelligence techniques C Boztepe, M Yüceer, A Künkül, M Şölener, OS Kabasakal Research on Chemical Intermediates 46 (1), 409-428, 2020 | 25 | 2020 |
Modeling of swelling behaviors of acrylamide-based polymeric hydrogels by intelligent system C Boztepe, M Solener, M Yuceer, A Kunkul, OS Kabasakal Journal of Dispersion Science and Technology 36 (11), 1647-1656, 2015 | 25 | 2015 |
Control vector parameterization approach in optimization of alternating aerobic–anoxic systems S Balku, M Yuceer, R Berber Optimal Control Applications and Methods 30 (6), 573-584, 2009 | 24 | 2009 |
Modeling water quality in rivers: a case study of Beylerderesi river in Turkey M Yuceer, MA Coskun Applied Ecology and Environmental Research 14 (1), 383-395, 2016 | 22 | 2016 |
Prediction of bromate removal in drinking water using artificial neural networks E Karadurmuş, N Taşkın, E Göz, M Yüceer Ozone: Science & Engineering 41 (2), 118-127, 2019 | 19 | 2019 |
Optimization of proteolysis and angiotensin converting enzyme inhibition activity in a model cheese using response surface methodology D Sahingil, Y Gokce, M Yuceer, AA Hayaloglu LWT 99, 525-532, 2019 | 18 | 2019 |
Artificial neural network models for HFCS isomerization process M Yuceer Neural Computing and Applications 19, 979-986, 2010 | 17 | 2010 |
Regression kriging analysis for longitudinal dispersion coefficient B Tutmez, M Yuceer Water resources management 27, 3307-3318, 2013 | 15 | 2013 |
A software for parameter estimation in dynamic models M Yuceer, I Atasoy, R Berber Brazilian Journal of Chemical Engineering 25, 813-821, 2008 | 15 | 2008 |
Neural network based control of the acrylonitrile polymerization process I Atasoy, M Yuceer, E Oguz Ulker, R Berber Chemical Engineering & Technology: Industrial Chemistry‐Plant Equipment …, 2007 | 15 | 2007 |
Total organic carbon prediction with artificial intelligence techniques E Goz, M Yuceer, E Karadurmus Computer aided chemical engineering 46, 889-894, 2019 | 14 | 2019 |
Automatic generation of production scheduling models in single stage multi-product batch plants: Some examples R Berber, M Yuceer, Z Ozdemir Mathematical and computer modelling 46 (1-2), 69-79, 2007 | 12 | 2007 |