Search Results - "Santos, Leonardo B L"

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  1. 1

    Topological indexes and community structure for urban mobility networks: Variations in a business day by Lamosa, Jéssica D, Tomás, Lívia R, Quiles, Marcos G, Londe, Luciana R, Santos, Leonardo B L, Macau, Elbert E N

    Published in PloS one (10-03-2021)
    “…Topological analysis and community detection in mobility complex networks have an essential role in many contexts, from economics to the environmental agenda…”
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    Journal Article
  2. 2

    WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets by Billa, Wagner S., Negri, Rogério G., Santos, Leonardo B. L.

    Published in Eng (Basel, Switzerland) (01-12-2023)
    “…This article addresses the challenges of selecting robust classifiers with increasing noise levels in real-world scenarios. We propose the WB Score…”
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  3. 3

    Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection by Hossaki, Vitor Y., Seron, Wilson F. M. S., Negri, Rogério G., Londe, Luciana R., Tomás, Lívia R., Bacelar, Roberta B., Andrade, Sidgley C., Santos, Leonardo B. L.

    Published in Geosciences (Basel) (01-04-2023)
    “…Floods are among the most frequent and costly rainfall-triggered disasters. In this context, geospatial content generated by non-professionals using geolocated…”
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  4. 4

    Detecting network communities: an application to phylogenetic analysis by Andrade, Roberto F S, Rocha-Neto, Ivan C, Santos, Leonardo B L, de Santana, Charles N, Diniz, Marcelo V C, Lobão, Thierry Petit, Goés-Neto, Aristóteles, Pinho, Suani T R, El-Hani, Charbel N

    Published in PLoS computational biology (01-05-2011)
    “…This paper proposes a new method to identify communities in generally weighted complex networks and apply it to phylogenetic analysis. In this case, weights…”
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  5. 5

    A Neural Network-Based Hydrological Model for Very High-Resolution Forecasting Using Weather Radar Data by Santos, Leonardo B. L., Freitas, Cintia P., Bacelar, Luiz, Soares, Jaqueline A. J. P., Diniz, Michael M., Lima, Glauston R. T., Stephany, Stephan

    Published in Eng (Basel, Switzerland) (01-09-2023)
    “…Many hydro-meteorological disasters in small and steep watersheds develop quickly and significantly impact human lives and infrastructures. High-resolution…”
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  6. 6

    Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks toward SARS-CoV-2 containment by Freitas, Vander L.S, Moreira, Gladston J.P, Santos, Leonardo B.L

    Published in PeerJ (San Francisco, CA) (05-11-2020)
    “…We present a robustness analysis of an inter-cities mobility complex network, motivated by the challenge of the COVID-19 pandemic and the seek for proper…”
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  7. 7

    Uncertainty propagation analysis for distributed hydrological forecasting using a neural network by Soares, Jaqueline A. J. P., Diniz, Michael M., Bacelar, Luiz, Lima, Glauston R. T., Soares, Allan K. S., Stephany, Stephan, Santos, Leonardo B. L.

    Published in Transactions in GIS (01-08-2024)
    “…The last few decades have presented a significant increase in hydrological disasters, such as floods. In some countries, most of the environmental,…”
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  8. 8

    Community Detection in Very High-Resolution Meteorological Networks by Ceron, Wilson, Santos, Leonardo B. L., Neto, Giovanni Dolif, Quiles, Marcos G., Candido, Onofre A.

    Published in IEEE geoscience and remote sensing letters (01-11-2020)
    “…Several complex dynamical systems are embedded in geographical space. Geographical data have proven its importance in several domains. For instance, the…”
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  9. 9

    Flood risk map from hydrological and mobility data: A case study in São Paulo (Brazil) by Tomás, Lívia Rodrigues, Soares, Giovanni Guarnieri, Jorge, Aurelienne A. S., Mendes, Jeferson Feitosa, Freitas, Vander L. S., Santos, Leonardo B. L.

    Published in Transactions in GIS (01-08-2022)
    “…Cities increasingly face flood risk primarily due to extensive changes of the natural land cover to built‐up areas with impervious surfaces. In urban areas,…”
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  10. 10

    An RS-GIS-Based ComprehensiveImpact Assessment of Floods-A Case Study in Madeira River, Western Brazilian Amazon by Santos, Leonardo B. L., Carvalho, Tiago, Anderson, Liana O., Rudorff, Conrado M., Marchezini, Victor, Londe, Luciana R., Saito, Silvia M.

    Published in IEEE geoscience and remote sensing letters (01-09-2017)
    “…Geographical information systems-based methods can be handled as powerful tools in assessing and quantifying impacts and, thus, supporting strategies for…”
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    Spatial analysis of Dengue through the reproduction numbers relating to socioeconomic features: Case studies on two Brazilian urban centers by Silva, Ana T.C., Dorn, Rejane C., Tomás, Lívia R., Santos, Leonardo B.L., Skalinski, Lacita M., Pinho, Suani T.R.

    Published in Infectious disease modelling (01-03-2024)
    “…The study of the propagation of infectious diseases in urban centers finds a close connection with their population's social characteristics and behavior. This…”
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  13. 13

    Vulnerability analysis in complex networks under a flood risk reduction point of view by Santos, Leonardo B. L., Soares, Giovanni G., Garg, Tanishq, Jorge, Aurelienne A. S., Londe, Luciana R., Reani, Regina T., Bacelar, Roberta B., Oliveira, Carlos E. S., Freitas, Vander L. S., Sokolov, Igor M.

    Published in Frontiers in physics (24-03-2023)
    “…The measurement and mapping of transportation network vulnerability to natural hazards constitute subjects of global interest for a sustainable development…”
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  14. 14

    A Computational Index to Expose Vulnerabilities in Transport Infrastructure and Socio-environmental Disasters: from Susceptibility Areas Analisys to Monitoring Coverage by Carvalho, Tiago, A. Souza Jorge, Aureliene, Bernardes, Tiago, R. Londe, Luciana, Soriano, Erico, B. L. Santos, Leonardo

    Published in Revista IEEE América Latina (01-05-2018)
    “…In Brazil, the frequency and intensity of natural disasters have been increased, being infrastructure and transport the most affected. This work analysis the…”
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  15. 15

    An operational dynamical neuro-forecasting model for hydrological disasters by de Lima, Glauston R. T., Santos, Leonardo B. L., de Carvalho, Tiago J., Carvalho, Adenilson R., Cortivo, Fábio D., Scofield, Graziela B., Negri, Rogério G.

    Published in Modeling earth systems and environment (01-06-2016)
    “…In the last decades, artificial neural network has been increasingly applied in hydrological modeling given its potential to process the complex nonlinear…”
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  16. 16

    Comparative protein analysis of the chitin metabolic pathway in extant organisms: A complex network approach by Góes-Neto, Aristóteles, Diniz, Marcelo V.C., Santos, Leonardo B.L., Pinho, Suani T.R., Miranda, José G.V., Lobao, Thierry Petit, Borges, Ernesto P., El-Hani, Charbel Niño, Andrade, Roberto F.S.

    Published in BioSystems (01-07-2010)
    “…Chitin is a structural endogenous carbohydrate, which is a major component of fungal cell walls and arthropod exoskeletons. A renewable resource and the second…”
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    Beyond the shortest path: the path length index as a distribution by Santos, Leonardo B. L, Carvalho, Luiz Max, Soares, Giovanni G, Ferreira, Leonardo N, Sokolov, Igor M

    Published 06-10-2022
    “…The traditional complex network approach considers only the shortest paths from one node to another, not taking into account several other possible paths. This…”
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  19. 19

    Precipitation event-based networks: an analysis of the relations between network metrics and meteorological properties by Jorge, Aurelienne A. S, Uba, Douglas, Fernandes, Alex A, Costa, Izabelly C, Santos, Leonardo B. L

    Published 22-06-2022
    “…The study of complex systems in nature is essential to understand the interactions between different elements and how they influence one another. Complex…”
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  20. 20

    Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed by Jorge, Aurelienne A. S, Diniz, Iuri da Silva, Freitas, Vander L. S, Costa, Izabelly C, Santos, Leonardo B. L

    Published 13-01-2022
    “…There are several criteria for building up networks from time series related to different points in geographical space. The most used criterion is the…”
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