Academic literature on the topic 'Dezert- Smarandache'

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Journal articles on the topic "Dezert- Smarandache"

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Alpert, Sofiia. "THE NEW APPROACH TO APPLYING THE DEZERT-SMARANDACHE THEORY IN LAND-COVER CLASSIFICATION IN UAV-BASED REMOTE SENSING." Management of Development of Complex Systems, no. 49 (April 11, 2022): 33–39. http://dx.doi.org/10.32347/2412-9933.2022.49.33-39.

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Nowadays UAV-based Remote Sensing gives a new opportunities for conducting scientific research in a much more detail way. Classification is one of the most important procedures in Remote Sensing tasks. This procedure can be applied in solution of numerous ecological and practical tasks, such as: forest classification, determing of soil types, exploring of oil and gas. Classification of incomplete, imprecise and high conflicting data has always been and still remains the one of most important procedures of remote sensing. In this paper the new approach to applying Dezert-Smarandache Theory in U
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Lifang, Hu, Guan Xin, and He You. "Efficient combination rule of Dezert-Smarandache theory." Journal of Systems Engineering and Electronics 19, no. 6 (2008): 1139–44. http://dx.doi.org/10.1016/s1004-4132(08)60210-8.

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Ghalem, Kamel Ghanem, and Fatiha Hendel. "Dual iris authentication system using dezert smarandache theory." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4703. http://dx.doi.org/10.11591/ijece.v9i6.pp4703-4712.

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In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J.
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Li, Xinde, Xuejian Wu, Jiaming Sun, and Zhengda Meng. "An approximate reasoning method in Dezert-Smarandache Theory." Journal of Electronics (China) 26, no. 6 (2009): 738–45. http://dx.doi.org/10.1007/s11767-009-0084-5.

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Kamel, Ghanem Ghalem, and Hendel Fatiha. "Dual iris authentication system using dezert smarandache theory." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4703–12. https://doi.org/10.11591/ijece.v9i6.pp4703-4712.

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In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J.
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Wang, Yi, Yingwu Fang, Jian Zhang, and Pengyang Li. "Dezert–Smarandache theory for multiple targets tracking in natural environment." IET Computer Vision 7, no. 6 (2013): 456–66. http://dx.doi.org/10.1049/iet-cvi.2012.0193.

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Khodabandeh, M., and A. M. Shahri. "Uncertainty evaluation for a Dezert–Smarandache theory-based localization problem." International Journal of General Systems 43, no. 6 (2014): 610–32. http://dx.doi.org/10.1080/03081079.2014.896353.

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Chen, Changxiao, Hongfei Li, and Minghao He. "An Improved Radar Emitter Recognition Method Based on Dezert-Smarandache Theory." Chinese Journal of Electronics 24, no. 3 (2015): 611–15. http://dx.doi.org/10.1049/cje.2015.07.029.

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Ceriotti, Matteo, Massimiliano Vasile, Giovanni Giardini, and Mauro Massari. "Approach to Model Interest for a Planetary Rover through Dezert-Smarandache Theory." Journal of Aerospace Computing, Information, and Communication 6, no. 2 (2009): 92–108. http://dx.doi.org/10.2514/1.37440.

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Gao, Jian, Xinhan Huang, Min Wang, and Xinde Li. "Neutrosophic Combination Rules Based on Dempster-Shafer Theory and Dezert-Smarandache Theory." Information Technology Journal 7, no. 7 (2008): 1023–29. http://dx.doi.org/10.3923/itj.2008.1023.1029.

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Dissertations / Theses on the topic "Dezert- Smarandache"

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Djiknavorian, Pascal. "Fusion d'informations dans un cadre de raisonnement de Dezert-Smarandache appliquée sur des rapports de capteurs ESM sous le STANAG 1241." Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25666/25666.pdf.

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Mora, Brice. "Cartographie de paramètres forestiers par fusion évidentielle de données géospatiales multi-sources application aux peuplements forestiers en régénération et feuillus matures du Sud du Québec." Thèse, Université de Sherbrooke, 2009. http://savoirs.usherbrooke.ca/handle/11143/2803.

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Foresters are faced with difficulties to obtain sub-polygon information with the mapping methods available nowadays. The main objective of this work consisted in the development of new methods able to improve the map accuracy of regenerating forest stands and mature forest stands in the South of Québec, Canada. The Dempster-Shafer Theory (DST) and the Dezert-Smarandache Theory (DSmT) showed their ability to integrate multiple heterogenous data sources to go further than the classical classification procedures like the maximum likelihood or the spectral unmixing, in terms of map accuracy. Impro
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Corgne, Samuel. "Modélisation prédictive de l'occupation des sols en contexte agricole intensifApplication à la couverture hivernale des sols en Bretagne." Phd thesis, Université Rennes 2, 2004. http://tel.archives-ouvertes.fr/halshs-00005478.

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La couverture hivernale des sols a un impact avéré sur la qualité de l'eau, en influant sur le transfert des flux de polluants d'origine agricole au sein de bassins versants. sa prédiction, si elle peut constituer une aide à la programmation d'actions dans le cadre de programmes de restauration de la qualité de l'eau, pose cependant un certain nombre de problèmes d'ordre méthodologique. L'objectif de ce travail est de développer une méthode reproductible qui permette d'effectuer une prédiction à court terme de la couverture hivernale des sols. Une approche approximative reposant sur un modèle
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Djiknavorian, Pascal. "Étude des algorithmes d'approximation de fonctions de croyance généralisées." Thesis, Université Laval, 2014. http://www.theses.ulaval.ca/2014/30400/30400.pdf.

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La recherche présentée ici consiste à résoudre le problème de difficulté calculatoire de la fusion d’informations dans le cadre de la théorie de l’évidence de Dempster-Shafer, ainsi que celui de la théorie de Dezert-Smarandache. On présente des études sur l’utilisation d’une variété d’algorithmes d’approximation connus ainsi que sur un nouvel algorithme d’approximation. On présente aussi une étude sur les métriques connues de distance entre corps d’évidence ainsi que deux nouvelles métriques. Enfin, on montre une étude de la possibilité d’employer une méthode d’optimisation afin de sélectionne
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Tacnet, Jean-Marc. "Prise en compte de l'incertitude dans l'expertise des risques naturels en montagne par analyse multicritères et fusion d'information." Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2009. http://tel.archives-ouvertes.fr/tel-00771692.

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Les phénomènes naturels gravitaires rapides tels que les avalanches ou les crues torrentielles menacent les biens et les personnes en montagne mais restent mal connus. Dans un contexte de connaissance partielle des phénomènes, l'expertise contribue, par des approches pluridisciplinaires à la fois qualitatives et quantitatives, à identifier les phénomènes, analyser les risques et proposer des mesures structurelles et/ou non-structurelles pour la réduction des risques. Les jugements d'experts dépendent de la qualité des informations disponibles. En fin de compte, les scénarios de phénomènes et l
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Djiknavorian, Pascal. "Fusion d'informations dans un cadre de raisonnement de Dezert-Smarandache appliquée sur des rapports de capteurs ESM sous le STANAG 1241 /." 2008. http://www.theses.ulaval.ca/2008/25666/25666.pdf.

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Books on the topic "Dezert- Smarandache"

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Florentin, Smarandache, and Dezert Jean, eds. Advances and applications of DSmT for information fusion: Collected works. American Research Press, 2004.

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Book chapters on the topic "Dezert- Smarandache"

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Garcia, Esteban, and Leopoldo Altamirano. "Decision Level Multiple Cameras Fusion Using Dezert-Smarandache Theory." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74272-2_15.

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Quellec, Gwénolé, M. Lamard, G. Cazuguel, B. Cochener, and C. Roux. "Multimodal Medical Case Retrieval using Dezert-Smarandache Theory with A Priori Knowledge." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_171.

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Djiknavorian Pascal and Grenier Dominic. "Naval Ship Classification with Generalized Belief Functions Using a New Approximation Algorithm." In NATO Science for Peace and Security Series - D: Information and Communication Security. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-716-0-231.

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This research addresses the computational complexity of data fusion under the Dempster-Shafer mathematical theory of evidence as well as the Dezert-Smarandache theory. As earlier research has shown, the use of these theories results in better data fusion results. However utilization of these theories is hampered by computational complexity when dealing with large scale problems. This paper presents a new approximation algorithm allowing target classification and identification for a larger number of target classes with a reasonable execution time. The paper also presents the results of applica
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Davydenko, Yevhen, and Alyona Shved. "THE METHODOLOGY OF SYNTHESIS OF INFORMATION TECHNOLOGIES FOR DECISION SUPPORT UNDER COMPLEX FORMS OF IGNORANCE." In Theoretical and practical aspects of science development. Publishing House “Baltija Publishing”, 2023. http://dx.doi.org/10.30525/978-9934-26-355-2-11.

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An important problem of system analysis is the disclosure of uncertainties due to the variety of purposes, properties and features of the studied objects and processes. The analysis and management of various types of ignorance is of primary importance, since the processes of intelligent technologies creating always proceed under contradiction, incompleteness, inaccuracy, uncertainty connected with processes of obtaining and processing of datasets and expert knowledges. The purpose of the paper is to improve the theoretical and methodological foundations of the synthesis of information technolo
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Conference papers on the topic "Dezert- Smarandache"

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Tchamova, A., T. Semerdjiev, and J. Dezert. "Estimation of target behavior tendencies using dezert-smarandache theory." In Proceedings of the Sixth International Conference of Information Fusion. IEEE, 2003. http://dx.doi.org/10.1109/icif.2003.177394.

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Quellec, Gwenole, Mathieu Lamard, Guy Cazuguel, Christian Roux, and Beatrice Cochener. "Multimodal medical case retrieval using the Dezert-Smarandache theory." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4649173.

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Zhao Xianzhang, Zeng Junfang, Gao Yibo, Guo Rui, and Yang Yiping. "Multi-ultrasonic sensor fusion based on Dezert-Smarandache theory." In International Technology and Innovation Conference 2006 (ITIC 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061069.

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Valin, Pierre, Pascal Djiknavorian, Eloi Bossé, and Dominic Grenier. "Fusion of ESM reports through Dempster-Shafer and Dezert-Smarandache theories." In SPIE Defense, Security, and Sensing, edited by Jerome J. Braun. SPIE, 2010. http://dx.doi.org/10.1117/12.850287.

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Jafari, Hossein, Xiangfang Li, and Lijun Qian. "Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study." In 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)2016. IEEE, 2016. http://dx.doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.127.

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Quellec, G., M. Lamard, L. Bekri, G. Cazuguel, C. Roux, and B. Cochener. "Multimodal medical case retrieval using Bayesian networks and the Dezert-Smarandache theory." In 2008 IEEE International Symposium on Biomedical Imaging: From Macro to Nano (ISBI '08). IEEE, 2008. http://dx.doi.org/10.1109/isbi.2008.4540978.

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Sudha, P., and A. Murugan. "Detection of forest fire using Dezert-Smarandache theory in wireless sensor networks." In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8392122.

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Ye, Changrong, Guojun Li, Yang Bao, Jinliang Qiao, and Deping Zhang. "Multi-lead fusion detection of T-wave alternans using Dezert-Smarandache theory." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009791.

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Zhao, C. M., J. Wei, Z. G. Xing, and Z. Wei. "Application of DSmT in Facial Expression Recognition." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86635.

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As the sample in facial expression database is small, the influence of the environment and the actual expression image processing can cause face feature information uncertainty and conflict of different information. This paper presents how to solve the small sample problem and the fusion of global feature recognition results and local feature recognition results based on DSmT (Dezert-Smarandache Theory) by matlab, the results show that DSmT can better handle the face expression of uncertainty information and contradictory information than DST (Dempster-Shafer Theory), recognition effect has be
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Haouas, Fatma, and Zouhour Ben Dhiaf. "New contributions into the Dezert-Smarandache theory: Application to remote sensing image classification." In 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2014. http://dx.doi.org/10.1109/socpar.2014.7008026.

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