Show simple item record

Aplicación de la inteligencia artificial en el control de tráfico marítimo: impacto en la seguridad integral marítima colombiana, caso de estudio Coveñas.

dc.contributor.authorSalgado Mesa, Julián Alejandro
dc.coverage.spatialBogotá, Escuela Superior de Guerra "General Rafael reyes Prieto", 2025
dc.date.accessioned2026-05-14T02:02:06Z
dc.date.available2026-05-14T02:02:06Z
dc.date.issued2025
dc.date.submitted2025
dc.identifier.urihttps://hdl.handle.net/20.500.14205/12171
dc.description.abstractEn el presente trabajo se analiza como la inteligencia artificial puede contribuir al control del tráfico marítimo y aportar a la seguridad integral marítima. Usando para ello un enfoque descriptivo con elementos exploratorios, para ello se utilizaron estadísticas y documentos oficiales, recolección de información de campo de la Capitanía de Puerto de Coveñas que se identificó como punto estratégico para la exportación de hidrocarburos y tráfico de buques tanqueros de gran calado en Colombia. La caracterización de las capacidades expone limitaciones de procesamiento de información en tiempo real. La revisión científica permitió clasificar modelos de IA para la detección de anomalías y alerta temprana, con ventajas y retos éticos. Se concluye que la IA presenta alto potencial para optimizar la toma de decisiones en el control del tráfico marítimo, fortalecer la seguridad y cooperación internacional.es_ES
dc.description.abstractThis paper analyzes how artificial intelligence can contribute to maritime traffic security. Using a descriptive approach with exploratory elemements, used statistics and official documents, collecting field information from the Coveñas Port Authority, which was indentified as a strategic exports and big vessel tankers traffic port in Colombia. The characterization of capabilities exposes limitations in real-time information processing. The scientific review allowed us to classify AI models for anomaly detection and warnings, with ethical advantages and challenges. It is concluded that AI has great potential to optimize decision-making in maritime traffic control, strengthening security and international cooperation.es_ES
dc.format.extent47 páginas
dc.format.mimetypeapplication/pdfes_ES
dc.language.isospaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAplicación de la inteligencia artificial en el control de tráfico marítimo: impacto en la seguridad integral marítima colombiana, caso de estudio Coveñas.es_ES
dcterms.bibliographicCitationAbuella, M., Atoui, M., Nowaczyk, S., Johansson, S., & Faghani, E. (2024). Spatial Clustering Approach for Vessel Path Identification. IEEE Vol 12. doi:https://doi.org/10.1109/ACCESS.2024.3399116es_ES
dcterms.bibliographicCitationBalas, E., & Balas, C. (2025). Maritime Risk Assessment: A Cutting-Edge Hybrid Model Integrating Automated Machine Learning and Deep Learning with Hydrodynamic and Monte Carlo Simulations. Journal Marine Science Engeneering . doi:https://doi.org/10.3390/jmse13050939es_ES
dcterms.bibliographicCitationBalzacq, T., Léonard, S., & Ruzicka, J. (august de 2015). "securitization" revisited: theory and cases . doi:https://doi.org/10.1177/0047117815596590es_ES
dcterms.bibliographicCitationBonilla, A. (2015). Vertido de hidrocarburos . Universidad de la laguna . Obtenido de http://riull.ull.es/xmlui/handle/915/860es_ES
dcterms.bibliographicCitationBudiman, J. (02 de 2024). MIT libraries. Obtenido de https://dspace.mit.edu/handle/1721.1/153995es_ES
dcterms.bibliographicCitationBueger, C., & Liebetrau, T. (2023). Critical maritime infrastructure protection: What’s the trouble? ELVEVIER. doi:https://doi.org/10.1016/j.marpol.2023.105772es_ES
dcterms.bibliographicCitationBuzan, B., Waever, O., & de Wolde, J. (1998). SECURITY. a new framework for analysis. London: Lynne Rienner Publishers.es_ES
dcterms.bibliographicCitationCapobianco, S., Millefiori, L., Forti, N., Braca, P., & Willett, P. (2021). Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks. IEEE Transactions on Aerospace and Electronic Systems, vol. 57,. doi:doi: 10.1109/TAES.2021.3096873es_ES
dcterms.bibliographicCitationConsejo Nacional de Política Económica y Social. (31 de march de 2020). Documento CONPES 3990. Bogotá D.C. Obtenido de https://colaboracion.dnp.gov.co/CDT/Conpes/Econ%C3%B3micos/3990.pdfes_ES
dcterms.bibliographicCitationConstapel, M., & Koch, P. (2022). On the implementation of a rule-based system to perform assessment of COLREGs onboard maritime autonomous surface ships. Journal of Physics Conference Series. doi:DOI:10.1088/1742-6596/2311/1/012033es_ES
dcterms.bibliographicCitationCONVEMAR. (1982). Convención de las Naciones Unidas sobre el Derecho del Mar. Obtenido de https://www.un.org/Depts/los/convention_agreements/texts/unclos/convemar_es.pdfes_ES
dcterms.bibliographicCitationCorvino, M., Daffina, F., Francalanci, C., Giacomazzi, P., Magliani, M., Ravanelli, P., & Stahl, T. (2024). A Methodology to extract Geo-Referenced Standard Routes from AIS Data. ITADATA2024: the 3rd Italian conference on Big Data and Data Science. Obtenido de https://arxiv.org/html/2503.22734v1es_ES
dcterms.bibliographicCitationCoscia, P., Braca, P., MIllefiori, L., Palmieri, F., & Willett, P. (2018). Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes. NATO-STO Centre for Maritime Research and Experimentation (CMRE). Obtenido de https://piurilabs.di.unimi.it/Papers/fusion2018.pdfes_ES
dcterms.bibliographicCitationCrawford, S. (2013). Panama Fever: Colombian fears of secession on San Adrrés and providencia Islands, 1903-1913. the Global South , 15-38. doi:https://doi.org/10.2979/GLOBALSOUTH.6.2.15.es_ES
dcterms.bibliographicCitationde Larrucea, J. R. (2008). International ship and port facility security and port facility assessment (ISPS code) . doi:https://doi.org/10.1080/09733150903122057es_ES
dcterms.bibliographicCitationDIAN, D. d. (2020). Estadísticas de carga de las importaciones y exportaciones en Colombia enero-diciembre 2018/2019. Obtenido de https://www.dian.gov.co/dian/cifras/CargaImpExp/Estad%C3%ADsticas%20de%20Carga%20de%20las%20Importaciones%20y%20Exportaciones%20en%20Colombia%20Enero%20-%20Dic%202019.pdfes_ES
dcterms.bibliographicCitationDIMAR, D. (2020). Plan Estratégico de Tecnologias de la Información . Bogotá . Obtenido de https://www.dimar.mil.co/sites/default/files/informes/Plan%20Estrat%C3%A9gico%20de%20Tecnolog%C3%ADas%20de%20la%20Informaci%C3%B3n%20_Dimar_31_01_20%20v0.pdfes_ES
dcterms.bibliographicCitationDIMAR, D. (2022). Estadísticas Anuales de transporte marítimo en Colombia 2020-2021. Obtenido de https://www.dimar.mil.co/sites/default/files/informes/PDFA%20Estad%C3%ADstica%20Anuales%20de%20Transporte%20Mar%C3%ADtimo%20en%20Colombia.pdfes_ES
dcterms.bibliographicCitationDIMAR, D. (2023). Estadísticas anuales de transporte marítimo en colombia 2021-2022. Bogotá D.C. Obtenido de https://www.dimar.mil.co/sites/default/files/noticias/PDFA%20Estad%C3%ADstica%20Anuales%20de%20Transporte%20Mar%C3%ADtimo%20en%20Colombia%202022.pdfes_ES
dcterms.bibliographicCitationDIMAR, D. (2023). La señalización marítima: el sistema que soporta el comercio internacional de Colombia . Obtenido de https://www.dimar.mil.co/la-senalizacion-maritima-el-sistema-que-soporta-el-comercio-internacional-de-colombiaes_ES
dcterms.bibliographicCitationDzindolet, M., Pierce, L., Beck, H., & Dawe, L. (2022). The Perceived Utility of Human and Automated Aids in a Visual Detection Task. doi:https://doi.org/10.1518/0018720024494856es_ES
dcterms.bibliographicCitationFlohr, M. (2025). Key concept: Securitization (copenhagen School). CLT. Obtenido de https://criticallegalthinking.com/2025/03/31/key-concept-securitization-copenhagen-schooles_ES
dcterms.bibliographicCitationFujitsu Limited ; Japan Coast Guard ;. (2021). Fujitsu Introduces AI technology Enabling Highly Accurate Prediction of Vessel Collision Risks on Complex Maritime Routes. Obtenido de https://www.fujitsu.com/global/about/resources/news/press-releases/2021/0928-01.htmles_ES
dcterms.bibliographicCitationGaldelli, A., Mancini, A., Ferra, C., & Tassetti, N. (2021). A Synergic Integration of AIS Data and SAR Imagery to Monitor Fisheries and Detect Suspicious Activities. Sensors. doi:https://doi.org/10.3390/s21082756es_ES
dcterms.bibliographicCitationGan, L., Gao, Z., Zhang, X., Xu, W., Cai, Y., & Song, L. (2025). Maritime vessel trajectory prediction based on sequential long short-term memory and U-Net architectures. Ocean Engineering. doi:https://doi.org/10.1016/j.oceaneng.2025.121598es_ES
dcterms.bibliographicCitationGonzález, S., Marín, I., Verano, C., Castro, A., & Vargas, L. (2021). Planificación Espacial MArina en Colombia: Avances y Retos de Cara a la Implementación de Decenio de las Ciencias Oceánicas para el Desarrollo Sostenible de las Naciones Unidas. Revista Costas. doi:doi: 10.26359/costas.e0221es_ES
dcterms.bibliographicCitationGonzález, S., Marín, I., verano, C., Castro, A., & Vargas, L. (march de 2021). Planificación Espacial Marina en Colombia: Avances y retos de cara a la implementación del Decenio de las Ciencias Oceánicas para el Desarrollo Sostenible de las Naciones Unidas. COSTAS . doi:https://doi.org/10.26359/costas.e0221.es_ES
dcterms.bibliographicCitationHan, X., Armenakis, C., & Jadidi, M. (2021). Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN. Geomatics Engineering, lassonde School of Engineering . doi:https://doi.org/10.3390/su13158162es_ES
dcterms.bibliographicCitationHenández Sampieri , R., Fernández-Collado, C., & Baptista Lucio, P. (2006). Metodología de la investigación . Mc Graw Hill.es_ES
dcterms.bibliographicCitationIALA, I. N. (2022). G1110 Use of Decision Support Tools for VTS Personnel. Obtenido de https://www.iala.int/product/g1110/es_ES
dcterms.bibliographicCitationIALA, I. N. (2022). G1111-1 Producing requirements for cores VTS Sytems and Equipment. Obtenido de https://www.iala.int/product/g1111-1/es_ES
dcterms.bibliographicCitationJimenez, J. (june de 1997). Maritime Power in Colombia, analysis and proposal of strategy. Naval Postgraduate School. Obtenido de https://ia600203.us.archive.org/24/items/maritimepowerinc00jime/maritimepowerinc00jime.pdfes_ES
dcterms.bibliographicCitationJobin, A., Lenca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence. doi:https://doi.org/10.1038/s42256-019-0088-2es_ES
dcterms.bibliographicCitationJun, J. (2001). The boost motor of US Navy's rise, comment on Mahan's sea power theory. Journal of Liaoning Normal University.es_ES
dcterms.bibliographicCitationKapila, J., & Sidhu, H. K. (2021). Effect of Oil Spills on MArine life. Reserach & Reviews: Journal of Ecology . doi:https://doi.org/10.37591/rrjoe.v10i3.3210es_ES
dcterms.bibliographicCitationKarna, H., Braovic, M., Gudelj, A., & Bulicic, K. (2025). Artificial Intelligence-Based Prediction Model for Maritime Vessel Type Identification. Journal Information. doi:https://doi.org/10.3390/info16050367es_ES
dcterms.bibliographicCitationKennedy, P. (8 de january de 1974). doi:https://doi.org/10.1524/mgzs.1974.16.2.39es_ES
dcterms.bibliographicCitationKim, Y.-J., Lee, J.-S., Pititto, A., Falco, L., & Lee, M.-S. (2022). Maritime traffic evaluation Using Sapatial-Temporal Density Analysis Based on Big AIS Data . doi:https://doi.org/10.3390/app122111246es_ES
dcterms.bibliographicCitationKrasowski, H., Schardinger, S., Arcak, M., & Althoff, M. (2025). ntelligent Sailing Model for Open Sea Navigation. Obtenido de https://arxiv.org/pdf/2501.04988es_ES
dcterms.bibliographicCitationKumar, s., & Heymann, F. (2020). Machine Learning-Assisted Anomaly Detection in Maritime Navigation Using AIS Data. Electrical Engineering and system Science . Obtenido de https://arxiv.org/abs/2002.05013es_ES
dcterms.bibliographicCitationMahan , A. T. (1980). The Influence of sea upon History.es_ES
dcterms.bibliographicCitationMarulanda, S. (04 de april de 2025). El puerto de Cartagena: líder en conectividad y movimiento de carga en latinoamérica. legiscomex. Obtenido de https://www.legiscomex.com/puerto-cartagena-lider-conectividad-latinoamericaes_ES
dcterms.bibliographicCitationMaurer, J. (21 de march de 2022). Obtenido de https://engelsbergideas.com/essays/the-geopolitics-and-grand-strategy-of-alfred-thayer-mahan/es_ES
dcterms.bibliographicCitationMazumdaru, S. (2025). Cómo el conflicto Israel-Irán amenaza el estrecho de Ormuz. Obtenido de https://www.dw.com/es/c%C3%B3mo-el-conflicto-israel-ir%C3%A1n-amenaza-el-crucial-estrecho-de-ormuz/a-72966598es_ES
dcterms.bibliographicCitationMazumdaru, S. (18 de 06 de 2025). Deutsche Welle. Obtenido de https://www.dw.com/es/c%C3%B3mo-el-conflicto-israel-ir%C3%A1n-amenaza-el-crucial-estrecho-de-ormuz/a-72966598es_ES
dcterms.bibliographicCitationMehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys. doi:https://doi.org/10.1145/3457607es_ES
dcterms.bibliographicCitationMotz, F. (2022). AI support for greater safety in coastal shipping traffic. Fraunhofer-Institut für Kommunikation. Obtenido de https://nachrichten.idw-online.de/2022/02/24/ai-support-for-greater-safety-in-coastal-shipping-traffices_ES
dcterms.bibliographicCitationMou, F., Fan, Z., Li, X., & Li, X. (2024). A Method for Clustering and Analyzing Vessel Sailing Routes Efficiently from AIS Data Using Traffic Density Images . Journal marine and Science engineering. doi:https://doi.org/10.3390/jmse12010075es_ES
dcterms.bibliographicCitationMou, F., Fan, Z., Li, X., Wang, L., & Li, X. (2024). A Method for Clustering and Analyzing Vessel Sailing Routes Efficiently from AIS Data Using Traffic Density Images. Journal of marine Science Engeneering. doi:https://doi.org/10.3390/jmse12010075es_ES
dcterms.bibliographicCitationOCIMF, O. (2018). A guide to best practice for navigational assessments and audits. Obtenido de https://www.ocimf.org/document-libary/88-a-guide-to-best-practice-for-navigational-assessments-and-audits/filees_ES
dcterms.bibliographicCitationOkafor-Yarwood, I., Eastwood, O., Chikowore, N., & de Oliveira Paes, L. (2024). Technology and maritime security in Africa: Opportunities and challenges in Gulf of Guinea. Marine Policy. doi:https://doi.org/10.1016/j.marpol.2023.105976es_ES
dcterms.bibliographicCitationO'Lavin, B. (2009). doi:Mahan and Corbett on Maritime Strategyes_ES
dcterms.bibliographicCitationOMI, O. (2022). Global Maritime Security Programme, Annual Report 2022. Obtenido de https://wwwcdn.imo.org/localresources/en/OurWork/Security/Documents/IMO%20Global%20Security%202022%20Annual%20Report.pdf.es_ES
dcterms.bibliographicCitationOtukoya, T. (2024). The securitization theory . International journal of Science and research archive. doi:https://doi.org/10.30574/ijsra.2024.11.1.0225es_ES
dcterms.bibliographicCitationPaine, L. P. (2014). The sea an civilization: a maritime history of the word. Obtenido de https://archive.org/details/seacivilizationm0000pain_j7z0/page/n8/mode/1upes_ES
dcterms.bibliographicCitationPallota , G., Horn, S., Braca, P., & Bryan , K. (2023). Context-Enhanced Vessel Prediction Based On Ornstein-Uhlenbeck Processes Using Historical AIS Traffic Patterns: Real-World Experimental Results. NATO-STO Centre for Maritime Research and Experimentation (CMRE). Obtenido de https://s3.amazonaws.com/confcats_isif/ISIF/Proceedings/2014Proceedings/papers/fusion2014_submission_170/paper170.pdfes_ES
dcterms.bibliographicCitationerez, S. L. (2023). The accounting actions of the libertator in the face of the economic crisis if the republican project of the Great Colombia (1827-1830). Universidad Simón Bolívar. doi: https://doi.org/10.33423/jaf.v23i6.6684es_ES
dcterms.bibliographicCitationPresidencia de la Republica. (1984). Decreto ley 2324 de 1984. Por el cual se reorganiza la Dirección General Marítima y Portuaria. Bogotá. Obtenido de https://www.dimar.mil.co/sites/default/files/normatividad/pdfaDECRETO%202324%20DE%201984.pdfes_ES
dcterms.bibliographicCitationRamírez-Cabrales, F., Pedroza , W. T., & Forero Hauzeur, J. C. (2021). Intereses Marítimos Colombianos. (V. d.-C.-A. Colombia, Ed.) Bogotá D.C: serie Publicaciones Especiales CCO.es_ES
dcterms.bibliographicCitationRaynor , J., Orofino, S., Costello, C., Mcdonald, G., Mayorga, J., & Sala, E. (2025). Little-to-no industrial fishing occurs in fully and highly protected marine areas. doi:DOI: 10.1126/science.adt9009es_ES
dcterms.bibliographicCitationRiga, M., Kontopoulos, E., Ioannidis, K., Kintzios, S., Vrochidis, S., & Kompatsiaris, I. (2020). EUCISE-OWL: An Ontology-based Representation of the Common Information Sharing Environment (CISE) for the Maritime Domain. Obtenido de https://www.semantic-web-journal.net/system/files/swj2373.pdfes_ES
dcterms.bibliographicCitationRodríguez, H. M., Osorio, L. H., Uribe, S., & Chávez, L. E. (2016). Seguridad Marítima: retos y amenazas. Bogotá: Escuela Superior de Guerra.es_ES
dcterms.bibliographicCitationRodriguez-Díaz , E., Alcaide, J., & García-Llave, R. (2024). Challenges and Security Risks in the Red Sea: Impact of Houthi attacks on Maritime Traffic. Journal of Marine Science an Engineering. doi:https://doi.org/10.3390/jmse12111900es_ES
dcterms.bibliographicCitationRodriguez-Diaz, E., Alcaide, J., & Garcia-Llave, R. (2024). Challenges and Security Risks in the Red Sea: Impact of Houthi Attacks on Maritime Traffic. Maritime Studies College, Universidad de Cadiz . doi:https://doi.org/10.3390/jmse12111900es_ES
dcterms.bibliographicCitationSluiman, F., & de Koning, H. (2010). Naval Vessel Traffic Services . Naval War College Review . Obtenido de https://digital-commons.usnwc.edu/nwc-review/vol63/iss3/9es_ES
dcterms.bibliographicCitationSosnowski, M., Petrossian, G., Nunphonhg, T., & Piza , E. (2024). Crimes at Sea: Exploring the nexus of maritime crimes across global EEZs. 166. doi:https://doi.org/10.1016/j.marpol.2024.106161es_ES
dcterms.bibliographicCitationStach, T., & Koch, P. (2025). LEAS: An AI-based Demonstrator as Decision Support Tool for Traffic Monitoring at VTS Centers. International Journal on Marine Navigation and Safety of Sea Transportation . doi:DOI: 10.12716/1001.19.01.35es_ES
dcterms.bibliographicCitationStach, T., Kinkel, Y., Constapel, M., & Burmeister, H.-C. (2023). Maritime Anomaly Detection for Vessel Traffic Services: A Survey. Journal of Marine Science engineering. doi: https://doi.org/10.3390/jmse11061174es_ES
dcterms.bibliographicCitationSuperTransporte. (2021). Bpletín estadístico de tráfico portuario en colombia año 2021. Obtenido de https://www.supertransporte.gov.co/documentos/2022/Febrero/Puertos_10/BOLETIN-TRAFICO-PORTUARIO-ANO2021.pdfes_ES
dcterms.bibliographicCitationSuperTransporte. (2022). Boletín estadístico de tráfico portuario en Colombia año 2022. Obtenido de https://www.supertransporte.gov.co/documentos/2023/Febrero/Puertos_28/BOLETIN-TRAFICO-PORTUARIO-2022.pdfes_ES
dcterms.bibliographicCitationTuredi, O., & Ozer-Caylan, D. (2021). Developing a griunded theory of national maritme policies based on safety, security and enviroment. Journal of International Maritime safety, Enviromental Affairs, and Shipping. doi:https://doi.org/10.1080/25725084.2021.1939642es_ES
dcterms.bibliographicCitationUNESCO, O. d. (2021). Recomendación sobre la Ética de la Inteligencia Artificial. Obtenido de https://unesdoc.unesco.org/ark:/48223/pf0000380455_spaes_ES
dcterms.bibliographicCitationUPME, U. (2015). Evaluación de la contribución económica del sector de hidrocarburos colombiano frente a diversos escenarios de producción. Bogotá D.C. Obtenido de https://www1.upme.gov.co/Hidrocarburos/Estudios%202014-2016/resumen_fedesarrollo_mme_final.pdfes_ES
dcterms.bibliographicCitationVicepresidencia de la República. (2018). Política Nacional del Océano y de los Espacios Costeros PNOEC. Bogotá D.C.es_ES
dcterms.bibliographicCitationWaever, O. (1995). 3. Securitization and desecuritization. En R. D. Lipschutz, On Security. Obtenido de https://dl1.cuni.cz/pluginfile.php/872615/mod_resource/content/1/Waever.pdfes_ES
dcterms.bibliographicCitationWolsing , K., Roepert, L., Bauer, J., & Wehrle, K. (2022). Anomaly Detection in Maritime AIS Tracks: A Review of Recent Approaches. Journal of Marine Science engineering . doi:https://doi.org/10.3390/jmse10010112es_ES
dcterms.bibliographicCitationWu, C., Wu, Q., Ma, F., & Wang, S. (2023). A Heterogeneous Information Fusion Method for Maritime Radar and AIS Based on D-S Evidence Theory. Engineering. doi:10.4236/eng.2023.1512058.es_ES
dcterms.bibliographicCitationYap, W., & Yang , D. (2024). Geopolitical tension and shippinng network disruption: analysis of the Red Sea crisis on container port calls. Journal of transport geography. doi:https://doi.org/10.1016/j.jtrangeo.2024.104004es_ES
dcterms.bibliographicCitationYu, Q., Palos Teixeira, A., Liu, k., Rong, H., & Guedes Soares, C. (2021). An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning. Reliability Engineering & System Safety. doi:https://doi.org/10.1016/j.ress.2021.107993es_ES
dcterms.bibliographicCitationZhang, Y., & LI, W. (2022). Dynamic Maritime Traffic Pattern Recognition with Online Cleaning, Compression, Partition, and Clustering of AIS Data. Sensors . doi:https://doi.org/10.3390/s22166307es_ES
dcterms.bibliographicCitationZhao, P. W. (2023). European Journal of East Asian Studies. doi:https://doi.org/10.1163/15700615-02202005.es_ES
datacite.rightshttp://purl.org/coar/access_right/c_abf2es_ES
oaire.resourcetypehttp://purl.org/coar/resource_type/c_2df8fbb1es_ES
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaes_ES
dc.audiencePúblico generales_ES
dc.contributor.tutorLópez Pulgarín, Nicolas Antonio
dc.contributor.tutorUrazán Chinchilla, Juan Camilo
dc.identifier.instnameEscuela Superior de Guerra "General Rafael Reyes Prieto"es_ES
dc.identifier.reponameRepositorio ESDEGes_ES
dc.publisher.placeBogotáes_ES
dc.publisher.programMaestría en Seguridad y Defensa Nacionaleses_ES
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subject.keywordsSeguridad integral marítimaes_ES
dc.subject.keywordsSecuritizaciónes_ES
dc.subject.keywordspoder marítimoes_ES
dc.subject.keywordsinteligencia artificiales_ES
dc.subject.keywordsDIMARes_ES
dc.subject.keywordsTráfico marítimoes_ES
dc.subject.keywordsamenazas emergenteses_ES
dc.subject.keywordsmaritime securityes_ES
dc.subject.keywordssecuritizationes_ES
dc.subject.keywordsmaritime poweres_ES
dc.subject.keywordsartificial intelligencees_ES
dc.subject.keywordsmaritime traffices_ES
dc.subject.keywordsemerging threatses_ES
dc.type.driverinfo:eu-repo/semantics/articlees_ES
dc.type.hasversioninfo:eu-repo/semantics/restrictedAccesses_ES
dc.type.spaArtículoes_ES


Files in this item

Thumbnail
Name:
TG VF SALGADO MESA JULIAN.pdf
Size:
844.2Kb
Format:
PDF
View/Open
Thumbnail
Name:
license_rdf
Size:
805bytes
Format:
application/rdf+xml
View/Open

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/