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F. Antonio Medrano

Fernando Antonio Medrano

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affiliation: Texas A&M University, Corpus Christi, TX, USA
affiliation (PhD 2014): University of California, Santa Barbara, USA

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Books and Theses

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2014
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Fernando Antonio Medrano:
Corridor Location: Generating Competitive and Efficient Route Alternatives. University of California, Santa Barbara, USA, 2014

Journal Articles

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2023
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Abhishek Phadke, F. Antonio Medrano, Chandra N. Sekharan, Tianxing Chu:
Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process. Sensors 23(17): 7359 (2023)
2022
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Marina Vicens Miquel, F. Antonio Medrano, Philippe Tissot, Hamid Kamangir, Michael J. Starek, Katie Colburn:
A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery. Remote. Sens. 14(23): 5990 (2022)
2020
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F. Antonio Medrano:
The complete vertex p -center problem. EURO J. Comput. Optim. 8(3): 327-343 (2020)
2016
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Sara Lafia, Jon Jablonski, Werner Kuhn, Savannah Cooley, F. Antonio Medrano:
Spatial discovery and the research library. Trans. GIS 20(3): 399-412 (2016)
2014
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Maria Paola Scaparra, Richard L. Church, F. Antonio Medrano:
Corridor location: the multi-gateway shortest path model. J. Geogr. Syst. 16(3): 287-309 (2014)

Conference and Workshop Papers

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2022
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Marina Vicens Miquel, F. Antonio Medrano, Philippe Tissot, Hamid Kamangir, Michael J. Starek:
Deep Learning Automatic Detection of the Wet/Dry Shoreline at Fish Pass, Texas. IGARSS 2022: 1876-1879

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