ORCA
Online Research @ Cardiff

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Number of items: 8.

Martins, Isabelle D., Bahiense, Laura, Infante, Carlos E.D and Fernandes De Arruda, Edilson 2020. Dimensionality reduction for multi-criteria problems: an application to the decommissioning of oil and gas installations. Expert Systems with Applications 148 , 113236. 10.1016/j.eswa.2020.113236

Martins, I.D., Moraes, F.F., Távora, G., Soares, H.L.F., Infante, C.E., Fernandes De Arruda, E., Bahiense, L., Caprace, J. and Lourenço, M.I. 2020. A review of the multicriteria decision analysis applied to oil and gas decommissioning problems. Ocean and Coastal Management 184 , 105000. 10.1016/j.ocecoaman.2019.105000

Soares, Henrique, Fernandes De Arruda, Edilson, Bahiense, Laura, Gartner, Daniel

and Amorim Filho, Luiz 2020. Optimisation and control of the supply of blood bags in hemotherapic centres via Markov Decision Process with discounted arrival rate. Artificial Intelligence in Medicine 10.1016/j.artmed.2020.101791

Fuller, Daniel Barry, Fernandes De Arruda, Edilson and Ferreira Filho, Virgílio José Martins 2020. Learning-agent-based simulation for queue network systems. Journal of the Operational Research Society 71 (11) , pp. 1723-1739. 10.1080/01605682.2019.1633232

Leal Gomes Leite, João Marcelo, Fernandes De Arruda, Edilson, Bahiense, Laura and Marujo, Lino G. 2020. Modeling the integrated mine-to-client supply chain: a survey. International Journal of Mining, Reclamation and Environment 34 (4) , pp. 247-293. 10.1080/17480930.2019.1579693

Fernandes De Arruda, Edilson, Pereira, Basílio B., Thiers, Clarissa A. and Tura, Bernardo R. 2019. Optimal testing policies for diagnosing patients with intermediary probability of disease. Artificial Intelligence in Medicine 97 , pp. 89-97. 10.1016/j.artmed.2018.11.005

Fernandes de Arruda, Edilson, Fragoso, Marcelo and Ourique, Fabricio 2019. A multi-cluster time aggregation approach for Markov chains. Automatica 99 , pp. 382-389. 10.1016/j.automatica.2018.10.027

Pastore, D, Thome, R, Dias, C, Fernandes de Arruda, Edilson and Yang, H 2018. A model for interactions between immune cells and HIV considering drug treatments. Computational and Applied Mathematics 37 (S1) , pp. 282-295. 10.1007/s40314-017-0528-8

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