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Collaborations and top research areas from the last five years
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Edge percolation centrality: A new measure to quantify the influence of edges during percolation in networks
Durón, C., Kravitz, H. & Brio, M., 2025, In: PloS one. 20, 9, p. e0331475Research output: Contribution to journal › Article › peer-review
Open Access -
Kolmogorov–Smirnov-Based Edge Centrality Measure for Metric Graphs
Durón, C., Kravitz, H. & Brio, M., Jun 2025, In: Dynamics. 5, 2, 16.Research output: Contribution to journal › Article › peer-review
Open Access -
A Coupled Spatial-Network Model: A Mathematical Framework for Applications in Epidemiology
Kravitz, H., Durón, C. & Brio, M., Nov 2024, In: Bulletin of Mathematical Biology. 86, 11, 132.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations -
An Unstructured Mesh Coordinate Transformation-Based FDTD Method
Albornoz-Basto, A., Denny, B. & Brio, M., Nov 1 2024, In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 37, 6, e3307.Research output: Contribution to journal › Article › peer-review
Open Access -
Iterated Crank–Nicolson Method for Peridynamic Models
Liu, J., Appiah-Adjei, S. & Brio, M., Mar 2024, In: Dynamics. 4, 1, p. 192-207 16 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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sj-zip-1-act-10.1177_1748302621999621 - Supplemental material for Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.14337082.v1, https://sage.figshare.com/articles/dataset/sj-zip-1-act-10_1177_1748302621999621_-_Supplemental_material_for_Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/14337082/1
Dataset
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sj-zip-1-act-10.1177_1748302621999621 - Supplemental material for Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.14337082, https://sage.figshare.com/articles/dataset/sj-zip-1-act-10_1177_1748302621999621_-_Supplemental_material_for_Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/14337082
Dataset
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Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5357908.v1, https://sage.figshare.com/collections/Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/5357908/1
Dataset
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Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5357908.v1, https://sage.figshare.com/collections/Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/5357908/1
Dataset
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sj-zip-1-act-10.1177_1748302621999621 - Supplemental material for Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.14337082.v1, https://sage.figshare.com/articles/dataset/sj-zip-1-act-10_1177_1748302621999621_-_Supplemental_material_for_Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/14337082/1
Dataset