Literatura científica selecionada sobre o tema "Munitions non explosées"
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Artigos de revistas sobre o assunto "Munitions non explosées"
Orel, Serhiy, Vadim Durach e Mykhaylo Naumko. "ENVIRONMENTAL RISK ASSESSMENT OF EXPLOSIVE RESIDUES TOXICOLOGICAL IMPACT ON HUMANS ON THE FORMER COMBAT AREA". Environmental Problems 7, n.º 1 (2022): 14–17. http://dx.doi.org/10.23939/ep2022.01.014.
Texto completo da fonteChoi, Jong-Soo, Janardhan Reddy Koduru, Lakshmi Prasanna Lingamdinne, Jae-Kyu Yang e Yoon-Young Chang. "Effective adsorptive removal of 2,4,6-trinitrotoluene and hexahydro-1,3,5-trinitro-1,3,5-triazine by pseudographitic carbon: kinetics, equilibrium and thermodynamics". Environmental Chemistry 15, n.º 2 (2018): 100. http://dx.doi.org/10.1071/en17208.
Texto completo da fonteHAUS-CHEYMOL, R., C. BOUGUERR, E. MAYORG, P. NIVOIX, N. PRAT, C. VERRET, S. DURON et al. "Blessure par arme à feu et engins explosifs dans les armées". Médecine et Armées Vol. 39 No. 1, Volume 39, Numéro 1 (1 de fevereiro de 2011): 89–96. http://dx.doi.org/10.17184/eac.6437.
Texto completo da fontePopov, Volodymyr, Dmytro Hermanov e Sergii Perepelytsia. "Particular Aspects Of The Concept Of “Terrorism”". Archives of Criminology and Forensic Sciences 6, n.º 2 (26 de novembro de 2022): 110–18. http://dx.doi.org/10.32353/acfs.6.2022.09.
Texto completo da fonteRasyid, Sausan Apriati. "LEGAL POLICY ON NON-ORGANIC FIREARMS OWNERSHIP FOR CIVILIANS IN INDONESIA: SAAD AL-DZARI’AH PERSPECTIVE". JURNAL SULTAN: Riset Hukum Tata Negara 2, n.º 2 (12 de fevereiro de 2024): 33–41. http://dx.doi.org/10.35905/sultan_htn.v2i2.8975.
Texto completo da fonteNikulin, Alex, Timothy de Smet, Jasper Baur, William Frazer e Jacob Abramowitz. "Detection and Identification of Remnant PFM-1 ‘Butterfly Mines’ with a UAV-Based Thermal-Imaging Protocol". Remote Sensing 10, n.º 11 (23 de outubro de 2018): 1672. http://dx.doi.org/10.3390/rs10111672.
Texto completo da fonteSaint-Laurent, Diane, Marlies Hähni e Stephen A. Barrett. "Analyse des sédiments contaminés de la portion sud-ouest du Lac Saint-Pierre (Québec, Canada)". 23, n.º 2 (7 de junho de 2010): 119–31. http://dx.doi.org/10.7202/039904ar.
Texto completo da fonteTeses / dissertações sobre o assunto "Munitions non explosées"
Cárdenas, Chapellín Julio José. "Inversion of geophysical data by deep learning". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS185.
Texto completo da fonteThis thesis presents the characterization ofmagnetic anomalies using convolutional neural networks, and the application of visualization tools to understand and validate their predictions. The developed approach allows the localization of magnetic dipoles, including counting the number of dipoles, their geographical position, and the prediction of their parameters (magnetic moment, depth, and declination). Our results suggest that the combination of two deep learning models, "YOLO" and "DenseNet", performs best in achieving our classification and regression goals. Additionally, we applied visualization tools to understand our model’s predictions and its working principle. We found that the Grad-CAM tool improved prediction performance by identifying several layers that had no influence on the prediction and the t-SNE tool confirmed the good ability of our model to differentiate among different parameter combinations. Then, we tested our model with real data to establish its limitations and application domain. Results demonstrate that our model detects dipolar anomalies in a real magnetic map even after learning from a synthetic database with a lower complexity, which indicates a significant generalization capability. We also noticed that it is not able to identify dipole anomalies of shapes and sizes different from those considered for the creation of the synthetic database. Our current work consists in creating new databases by combining synthetic and real data to compare their potential influence in improving predictions. Finally, the perspectives of this work consist in validating the operational relevance and adaptability of our model under realistic conditions and in testing other applications with alternative geophysical methods
Esta tesis presenta la caracterización de anomalías magnéticas mediante redes neuronales convolucionales, y la aplicación de herramientas de visualización para entender y validar sus predicciones. El enfoque desarrollado permite la localización de dipolos magnéticos, incluyendo el recuento delnúmero de dipolos, su posición geográfica y la predicción de sus parámetros (momento magnético, profundidad y declinación). Nuestros resultados sugieren que la combinación de dos modelos de aprendizaje profundo, "YOLO" y "DenseNet", es la que mejor se ajusta a nuestros objetivos de clasificación y regresión. Adicionalmente, aplicamos herramientas de visualización para entender las predicciones de nuestromodelo y su principio de funcionamiento. Descubrimos que la herramienta Grad-CAM mejoraba el rendimiento de la predicción al identificar varias capas que no influían enla predicción y la herramienta t-SNE confirmaba la buena capacidad de nuestro modelo para diferenciar entre distintas combinaciones de parámetros. Seguidamente, probamos nuestro modelo con datos reales para establecer sus limitaciones y su rango de aplicación. Los resultados demuestran quenuestro modelo detecta anomalías dipolares en unmapa magnético real incluso después de aprender de una base de datos sintética con una complejidad menor, lo que indica una capacidad de generalización significativa. También observamos que no es capaz de identificar anomalías dipolares de formas y tamaños diferentes a los considerados para la creación de la base de datos sintética. Nuestro trabajo actual consiste en crear nuevas bases de datos combinando datos sintéticos y reales para comparar su posible influencia en la mejora de las predicciones. Por último, las perspectivas de este trabajo consisten en validar la pertinencia operativa y la adaptabilidad de nuestro modelo en condiciones realistas y en probar otras aplicaciones con métodos geofísicos alternativos
Livros sobre o assunto "Munitions non explosées"
Military legacies: A world made by war. New York: Routledge, 2010.
Encontre o texto completo da fonte(US), National Research Council. Systems and Technologies for the Treatment of Non-Stockpile Chemical Warfare Material. National Academies Press, 2002.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Munitions non explosées"
WACHTEL, Cl. "85 ans après, un risque toujours présent". In Médecine et Armées Vol. 45 No.1, 81–86. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.7460.
Texto completo da fonteCorn, Geoffrey S. "Be Careful What You Ask For". In Complex Battlespaces, 431–62. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190915360.003.0013.
Texto completo da fonteSuresh Babu, C. V., e P. M. Akshara. "Virtual Threats and Asymmetric Military Challenges". In Advances in Digital Crime, Forensics, and Cyber Terrorism, 49–68. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8846-1.ch004.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Munitions non explosées"
Yip, Mien, e Brent Haroldsen. "Design Basis of an Impulsively Loaded Vessel for Specific Loading Configurations". In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97998.
Texto completo da fonteKing, Kim W., e Johnny H. Waclawczyk. "Blast Containment Chamber Development and Testing". In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93028.
Texto completo da fonteYAPING, TAN, HUANG HENGXIANG e CAI YOUER. "INITIATION CHARACTERISTICS OF COMP-B EXPLOSIVE SUBJECT TO SHAPED CHARGE JET". In 32ND INTERNATIONAL SYMPOSIUM ON BALLISTICS. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/ballistics22/36181.
Texto completo da fonteGibson, Joshem, Joshua J. Mueller e Dusan Spernjak. "Assessment of ASTM A723 Steel for Constructing Impulsively Loaded Vessels". In ASME 2023 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/pvp2023-105952.
Texto completo da fonteKosko, Nancy, Janet Gilman e Debbie White. "Performance-Based Acquisition: A Tool to Reduce Costs and Improve Performance at US Army Environmental Remediation Sites". In The 11th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2007. http://dx.doi.org/10.1115/icem2007-7050.
Texto completo da fonteRelatórios de organizações sobre o assunto "Munitions non explosées"
Welp, Timothy. Screening dredged material to meet placement requirements. Engineer Research and Development Center (U.S.), agosto de 2022. http://dx.doi.org/10.21079/11681/45262.
Texto completo da fonte