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Tiago Dias Martins

Observed names: Martins, Tiago Dias, T. D. MARTINS, T. D. Martins, T.D. Martins, TIAGO DIAS MARTINS, Tiago D MARTINS, Tiago D. Martins, Tiago Dias MARTINS, Tiago Martins
Observed institutions: Universidade Federal de São Carlos, Universidade Estadual de Campinas (UNICAMP), Universidade Estadual do Oeste do Paraná, Ludwig Boltzmann Gesellschaft, Onassis Cardiac Surgery Center, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo
ORCID: 0000-0002-3452-7033
Observed ORCID: 0000-0002-3452-7033
OpenAlex ID: A5061361506
Equilibrium study of the binary mixture of cadmium–zinc ions biosorption by the Sargassum filipendula species using adsorption isotherms models and neural network
2006 · M.R. Fagundes-Klen, P. Ferri, et al. · Biochemical Engineering Journal · 113
Artificial neural networks for prediction of recurrent venous thromboembolism
2020 · T.D. Martins, J.M. Annichino-Bizzacchi, et al. · International Journal of Medical Informatics · 45
Individual and competitive adsorption of ibuprofen and caffeine from primary sewage effluent by yeast-based activated carbon and magnetic carbon nanocomposite
2022 · Geórgia Labuto, Ana P. Carvalho, et al. · Sustainable Chemistry and Pharmacy · 44
Principal Component Analysis on Recurrent Venous Thromboembolism
2019 · Tiago D. Martins, Joyce M. Annichino-Bizzacchi, et al. · Clinical and Applied Thrombosis/Hemostasis · 39
Biosorption study of Ni2+ and Cr3+ by Sargassum filipendula: kinetics and equilibrium
2014 · A. A. Seolatto, T. D. Martins, et al. · Brazilian Journal of Chemical Engineering · 33
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Reactive Blue 5G Adsorption onto Activated Carbon: Kinetics and Equilibrium
2012 · Tiago D. Martins, Daiana Schimmel, et al. · Journal of Chemical & Engineering Data · 32
Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review
2024 · Mohamad Al Bannoud, Carlos Alexandre Moreira da Silva, et al. · Annual Reviews in Control · 26
Mathematical modeling of drying kinetics of ground Açaí (Euterpe oleracea) kernel using artificial neural networks
2023 · Mohamad A. Bannoud, Beatriz P. Gomes, et al. · Chemical Papers · 18
Surface modification of polyelectrolyte multilayers by high radio frequency air plasma treatment
2014 · Tiago Dias Martins, Rogério Aparecido Bataglioli, et al. · Applied Surface Science · 17
Control of a closed dry grinding circuit with ball mills using predictive control based on neural networks
2022 · Mohamad Al Bannoud, Tiago Dias Martins, et al. · Digital Chemical Engineering · 15
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Artificial neural network for prediction of SO2 removal and volumetric mass transfer coefficient in spray tower
2021 · Vinícius Y. Valera, Milene C. Codolo, et al. · Process Safety and Environmental Protection · 15
Estimation of vaporization properties of pure substances using artificial neural networks
2020 · Gabriel Y. Ottaiano, Isabela N.S. da Cruz, et al. · Chemical Engineering Science · 14
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population
2023 · Tiago D. Martins, Sandra D. Martins, et al. · Neural Computing and Applications · 13
Experimental Evaluation and Neural Networks Modeling of Removal Efficiency and Volumetric Mass Transfer Coefficient for Gas Desulfurization in Spray Tower
2022 · Vinícius Y. Valera, Tiago D. Martins, et al. · Chemical Engineering Science · 12
A neural network correlation for molar density and specific heat of water: Predictions at pressures up to 100 MPa
2019 · E.B. Melo, E.T. Oliveira, et al. · Fluid Phase Equilibria · 11
Determination of Patient-Specific Blood Coagulation Kinetic Parameters via Neural Networks: Toward Thrombosis Prediction in Personalized Medicine
2025 · Mohamad Al Bannoud, Tiago Dias Martins, et al. · Annals of Biomedical Engineering · 10
Integrating biomarkers for hemostatic disorders into computational models of blood clot formation: A systematic review
2024 · Mohamad Al Bannoud, Tiago Dias Martins, et al. · Mathematical Biosciences & Engineering · 10
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Textile effluent treatment employing yeast biomass and a new nanomagnetic biocomposite
2021 · Jacqueline R. Nascimento, Kátia C.H. Bezerra, et al. · Environmental Science and Pollution Research · 10
Artificial Neural Network for Prediction of Venous Thrombosis Recurrence
2016 · Anna Virginia Calazans Romano, Tiago Dias Martins, et al. · Blood · 10
Modelagem do sistema de resfriamento por imersão de carcaças de frangos utilizando redes neurais artificiais
2009 · Túlio Klassen, Tiago Dias Martins, et al. · Acta Scientiarum. Technology/Acta scientiarum. Technology · 10
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Prediction of recurrent venous thromboembolism using a spatiotemporal phenomenological model and artificial neural network
2025 · Mohamad Al Bannoud, Tiago Dias Martins, et al. · Neural Computing and Applications · 8
Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests
2024 · Tiago D. Martins, Rubens Maciel-Filho, et al. · Neural Computing and Applications · 8
Modeling the water uptake by chicken carcasses during cooling by immersion
2011 · Tiago Dias Martins, Túlio Klassen, et al. · Food Science and Technology · 8
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Machine learning models for vapor-liquid equilibrium of binary mixtures: State of the art and future opportunities
2024 · Gabriel Y. Ottaiano, Tiago D. Martins · Process Safety and Environmental Protection · 7
Human Immunoglobulin G Adsorption in Epoxy Chitosan/Alginate Adsorbents: Evaluation of Isotherms by Artificial Neural Networks
2019 · Ana Carolina Moreno Pássaro, Tainá Maia Mozetic, et al. · Chemical Product and Process Modeling · 7
Works count: 69
Citation count: 574
H-index: 13
I10-index: 20
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