| Equilibrium study of the binary mixture of cadmium–zinc ions biosorption by the Sargassum filipendula species using adsorption isotherms models and neural network MR Fagundes-Klen, P Ferri, TD Martins, CRG Tavares, EA Silva Biochemical Engineering Journal 34 (2), 136-146, 2007 | 136 | 2007 |
| Reactive blue 5G adsorption onto activated carbon: kinetics and equilibrium TD Martins, D Schimmel, JBO dos Santos, EA da Silva Journal of Chemical & Engineering Data 58 (1), 106-114, 2013 | 31 | 2013 |
| Artificial neural networks for prediction of recurrent venous thromboembolism TD Martins, JM Annichino-Bizzacchi, AVC Romano, R Maciel Filho International journal of medical informatics 141, 104221, 2020 | 24 | 2020 |
| Principal component analysis on recurrent venous thromboembolism TD Martins, JM Annichino-Bizzacchi, AVC Romano, RM Filho Clinical and Applied Thrombosis/Hemostasis 25, 1076029619895323, 2019 | 24 | 2019 |
| Individual and competitive adsorption of ibuprofen and caffeine from primary sewage effluent by yeast-based activated carbon and magnetic carbon nanocomposite G Labuto, AP Carvalho, AS Mestre, MS dos Santos, HR Modesto, ... Sustainable Chemistry and Pharmacy 28, 100703, 2022 | 20 | 2022 |
| Biosorption study of Ni2+ and Cr3+ by Sargassum filipendula: kinetics and equilibrium AA Seolatto, TD Martins, R Bergamasco, CRG Tavares, ES Cossich, ... Brazilian Journal of Chemical Engineering 31, 211-227, 2014 | 19 | 2014 |
| Modelagem do sistema de resfriamento por imersão de carcaças de frangos utilizando redes neurais artificiais T Klassen, TD Martins, L Cardozo Filho, EA da Silva Acta Scientiarum. Technology 31 (2), 201-205, 2009 | 17 | 2009 |
| Using artificial intelligence to manage thrombosis research, diagnosis, and clinical management A Mishra, MZ Ashraf Seminars in thrombosis and hemostasis 46 (04), 410-418, 2020 | 16 | 2020 |
| Artificial neural network for prediction of SO2 removal and volumetric mass transfer coefficient in spray tower VY Valera, MC Codolo, TD Martins Chemical Engineering Research and Design 170, 1-12, 2021 | 15 | 2021 |
| Surface modification of polyelectrolyte multilayers by high radio frequency air plasma treatment TD Martins, RA Bataglioli, TB Taketa, F da Cruz Vasconcellos, MM Beppu Applied surface science 329, 287-291, 2015 | 14 | 2015 |
| Estimation of vaporization properties of pure substances using artificial neural networks GY Ottaiano, INS da Cruz, HS da Cruz, TD Martins Chemical Engineering Science 231, 116324, 2021 | 12 | 2021 |
| A neural network correlation for molar density and specific heat of water: Predictions at pressures up to 100 MPa EB Melo, ET Oliveira, TD Martins Fluid Phase Equilibria 506, 112411, 2020 | 10 | 2020 |
| Artificial neural network for prediction of venous thrombosis recurrence AVC Romano, TD Martins, R Maciel, EV De Paula, ... Blood 128 (22), 3771, 2016 | 9 | 2016 |
| Modelagem do efeito do pH na biossorção de metais pela alga marinha Sargassum filipendula MR Fagundes-Klen, MT Veit, EA Da Silva, R Bergamasco, TD Martins, ... Acta Scientiarum. Technology 33 (4), 439-446, 2011 | 9 | 2011 |
| Human immunoglobulin G adsorption in epoxy chitosan/alginate adsorbents: evaluation of isotherms by artificial neural networks ACM Pássaro, TM Mozetic, JE Schmitz, IJ da Silva Jr, TD Martins, ... Chemical Product and Process Modeling 14 (4), 20190077, 2019 | 7 | 2019 |
| Modeling the water uptake by chicken carcasses during cooling by immersion TD Martins, T Klassen, RLS Canevesi, RA Barella, L Cardozo Filho, ... Food Science and Technology 31, 571-576, 2011 | 7 | 2011 |
| Textile effluent treatment employing yeast biomass and a new nanomagnetic biocomposite JR Nascimento, KCH Bezerra, TD Martins, ENVM Carrilho, CA Rodrigues, ... Environmental Science and Pollution Research 28, 27318-27332, 2021 | 4 | 2021 |
| Control of a closed dry grinding circuit with ball mills using predictive control based on neural networks M Al Bannoud, TD Martins, BF dos Santos Digital Chemical Engineering 5, 100064, 2022 | 3 | 2022 |
| Modeling Carbon Release of Brazilian Highest Economic Pole and Major Urban Emitter: Comparing Classical Methods and Artificial Neural Networks D Debone, TD Martins, SGEK Miraglia Climate 10 (1), 9, 2022 | 3 | 2022 |
| Spouted bed drying of milk–blackberry mixture: Material thermal properties and process energy aspects MB Braga, TD Martins, VCA Louzi, RL Giannella, VK Fujita, SCS Rocha Journal of Food Process Engineering 44 (5), e13678, 2021 | 3 | 2021 |
