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Статті в журналах з теми "Method of multicriteria classification"
Todeschini, R., and E. Marengo. "Linear discriminant classification tree: A user-driven multicriteria classification method." Chemometrics and Intelligent Laboratory Systems 16, no. 1 (September 1992): 25–35. http://dx.doi.org/10.1016/0169-7439(92)80075-f.
Повний текст джерелаSilva, Maisa M., Ana Paula H. de Gusmão, and Ana Paula C. S. Costa. "An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles." Mathematical Problems in Engineering 2019 (May 5, 2019): 1–14. http://dx.doi.org/10.1155/2019/4078909.
Повний текст джерелаBelacel, Nabil, Hiral Bhasker Raval, and Abraham P. Punnen. "Learning multicriteria fuzzy classification method PROAFTN from data." Computers & Operations Research 34, no. 7 (July 2007): 1885–98. http://dx.doi.org/10.1016/j.cor.2005.07.019.
Повний текст джерелаLiang, Liang, Ren Yan Jiang, and Yin Liang. "A Multicriteria Decision Method with Uncertain Information in Financial Credit Loan Decision-Making." Applied Mechanics and Materials 52-54 (March 2011): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1868.
Повний текст джерелаKhoder, Mahdi, Serge Kashana, Jihan Khoder, and Rafic Younes. "Multicriteria classification method for dimensionality reduction adapted to hyperspectral images." Journal of Applied Remote Sensing 11, no. 2 (April 6, 2017): 025001. http://dx.doi.org/10.1117/1.jrs.11.025001.
Повний текст джерелаWang, Xiao-yi, Yi Yang, Yu-ting Bai, Jia-bin Yu, Zhi-yao Zhao, and Xue-bo Jin. "Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making." Complexity 2020 (August 17, 2020): 1–10. http://dx.doi.org/10.1155/2020/8147617.
Повний текст джерелаZopounidis, Constantin, and Michael Doumpos. "Multicriteria classification and sorting methods: A literature review." European Journal of Operational Research 138, no. 2 (April 2002): 229–46. http://dx.doi.org/10.1016/s0377-2217(01)00243-0.
Повний текст джерелаKefer, Petar, Dragan D. Milanovic, Mirjana Misita, and Aleksandar Zunjic. "Fuzzy Multicriteria ABC Supplier Classification in Global Supply Chain." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9139483.
Повний текст джерелаCosta, Ana Sara, Salvatore Corrente, Salvatore Greco, José Rui Figueira, and José Borbinha. "A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity." European Journal of Operational Research 286, no. 3 (November 2020): 986–1001. http://dx.doi.org/10.1016/j.ejor.2020.04.021.
Повний текст джерелаSalukvadze, M., N. Jibladze, V. Maisuradze, and A. Topchishvili. "Methods and algorithms for solving multicriteria problems – classification approach." Model Assisted Statistics and Applications 2, no. 4 (January 11, 2008): 239–51. http://dx.doi.org/10.3233/mas-2007-2406.
Повний текст джерелаДисертації з теми "Method of multicriteria classification"
Nemery, De Bellevaux Philippe. "On the use of multicriteria ranking methods in sorting problems." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210424.
Повний текст джерела
Dans un problème de tri une personne, appelée décideur, désire assigner un objet, appelé action, à des catégories prédéfinies. Des problèmes de tri surgissent régulièrement dans la vie de tous les jours. Par exemple, un médecin ausculte son patient et sur base des symptômes observés, il assigne son patient à une catégorie de pathologies. Ainsi, le médecin peut prescrire un traitement approprié. Par ailleurs, on catégorise les cyclones tropicaux en fonction de leur vitesse, pression superficielle et de la hauteur de marée. En fonction de la catégorie du cyclone, des dégâts éventuels peuvent être prédits et des mesures de protection adéquates devront être prises.
Dans un problème de tri, un décideur regroupe ainsi les actions qu’il considère similaires, à des fins descriptives, organisationnelles ou préventives. Nous supposerons en outre que le décideur exprime une relation de préférence entre les classes préalablement définies.
D’autre part, les méthodes de rangement permettent de ranger les actions de la meilleure à la moins bonne. Nul étudiant ne peut nier l’existence des " rankings " d’universités. Une société ordonne les candidats à l’issue d’un entretien d’embauche. Une société désire par ailleurs établir des partenariats avec les fournisseurs les plus performants. Nous sommes tous confrontés à cette tâche délicate de ranger les actions de la meilleure à la moins bonne. Les méthodes d’aide à la décision proposent des techniques permettant à un décideur d’obtenir un rangement d’actions.
L’objectif de cette thèse est d’étudier la possibilité de résoudre des problèmes de tri à l’aide de méthodes de rangement. L’approche adoptée est de ranger une action particulière par rapport à des normes ou profils définissant les catégories. L’assignation de l’action sera dès lors basée sur sa position dans ce rangement particulier.
Quelles sont les hypothèses nécessaires pour un tel modèle ?Ces méthodes présentent-elles un biais ou ont-elles d’autres avantages par rapport aux méthodes de tri existantes? Est-il préférable de modéliser les catégories à l’aide de critères même si celles-ci ne présentent pas de relation de préférence ?Dans cette thèse nous donnerons des premiers éléments de réponse en développant de nouvelles méthodes de tri basées sur des méthodes de rangement existantes.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Tufekci, Nesrin. "Gis Based Geothermal Potential Assessment For Western Anatolia." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607651/index.pdf.
Повний текст джерелаЗагородня, Тетяна Миколаївна. "Моделі та інформаційна технологія забезпечення компетентності випускників вищого навчального закладу з урахуванням вимог роботодавця". Thesis, Сумський державний університет, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/18188.
Повний текст джерелаЗагородня, Тетяна Миколаївна. "Моделі та інформаційна технологія забезпечення компетентності випускників вищого навчального закладу з урахуванням вимог роботодавця". Thesis, НТУ "ХПІ", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/18178.
Повний текст джерелаThesis for a Candidate Degree in Technical Sciences, Specialty 05.13.06 – Information technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2015. In the dissertation the relevant scientific and practical problem is solved, which is related to study and development of information technology for ensuring competencies of graduates to meet the requirements of the employer for the competence of professionals. Scientific achievements in the field of improving of learning efficiency based on a modular system and the competence approach were analyzed. The basic requirements to decision support information system for teaching staff were formulated in order to improve the learning process of students of technical specialties, including future engineers. A mathematical model of competence representation as a complex aggregated characteristic was created. The model of multicriteria optimization of the parameters of learning process was developed, which allows to maximize the competence function. The decision support information technology was developed and deployed. It allows to optimize the learning process of students of technical specialties for improvement of their competence and satisfaction of employers requirements. The optimization of parameters of learning process for students of low residence education was performed. It was done for discipline «Theoretical Foundations of Electrical Engineering» and allowed to increase the level of competence by 20–35 %. The results were used for organization of learning process in leading universities of Ukraine.
Vafaeyan, Shadi. "A new approach to the Rough Set multicriteria optimisation method." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/28031.
Повний текст джерелаBuonanno, Michael Alexander. "A Method for Aircraft Concept Exploration using Multicriteria Interactive Genetic Algorithms." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7571.
Повний текст джерелаPAIXÃO, GIOVANNA PATE DA. "STOCK PORTFOLIO SELECTION MODEL: AN APPLICATION OF MULTICRITERIA METHOD ANALYTIC HIERARCHY PROCESS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34578@1.
Повний текст джерелаIn order to obtain a part of the future profit of a company, an investor buys a stock - the smaller share of a company s capital. The investor, interested in putting money into stocks, faces his/her first decision: in which stock to invest. There are several methods to select the stocks which can be classified as purely objective method, purely subjective and combined method. This paper intends to propose a combined method based on the multicriteria model Analytic Hierarchy Process (AHP) in order to rank stocks for investors to choose his/her investments from the given group of stocks. Based on this study, the proposed model proved to be a simple application tool and viable for any investor - from the most qualified to least qualified - be able to make decision of choosing stocks using this tool. Among the sample of 10 pre selected stocks, the ones which achieved a higher score, and therefore would be part of the portfolio of shares, were: Itaú Unibanco and Vale BMF Bovespa.
Dur, Fatih Çelik H. Murat. "The Usage Of Stochastic And Multicriteria Decision-Aid Methods Evaluating Geothermal Energy Exploitation Projects/." [s.l.]: [s.n.], 2005. http://library.iyte.edu.tr/tezler/master/sehirplanlama/T000324.pdf.
Повний текст джерелаKeywords: Geothermal energy, multi criteria decision method, stochastic methods, Monte Carlo method. Includes bibliographical references (leaves.93-98).
GOMES, KESIA GUEDES ARRAES. "A MULTICRITERIA METHOD FOR THE LOCATION OF INTENDANCY CELLULAR UNITS OF THE BRAZILIAN AIR FORCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14984@1.
Повний текст джерелаThe Intendancy Cellular Units (UCI) of the Brazilian Air Force are mobile structures which aim at providing the logistic support to man, when he’s displaced from his Military Organization in order to accomplish real or training missions in remote areas or places that lack resources. In the Brazilian Air Force, there are eight UCI which are regionally distributed along the Brazilian national territory. Considering the need to fulfill the Brazilian Air Force Articulation Plan and the National Defense Strategy, many studies were developed in the Directory of Intendancy, Main Body that is responsible for the Operational Intendancy System, to evaluate the distribution (location) of these Units so as to comply with the operational demands of the Air Force. With the need to better understand the subject, this research presents the application of a multi-criteria decision making method, namely AHP (Analytic Hierarchy Process), to facilitate the process of choosing and prioritizing the UCI strategic location, taking into consideration the possible closure of three Intendancy Cellular Units. The AHP method, developed by Thomas L. Saaty, allows for the hierarchical structure of a complex strategic problem, the incorporation of decision makers preferences when measuring all the qualitative aspects involved as well as the use of an approach that can aggregate monetary intangible variables. Given the theme’s relevance, the participation of wise and expert Officers from the Directory of Intendancy enabled the perception of information and the necessary data in order to apply the method.
Dannert, Sofia, and Josefin Norström. "Metod för bedömning och jämförelse av insamlings- och sorteringssystem för hushållsavfall : Utveckling av ett verktyg för multikriterieanalys med en- och fåfamiljshus i Linköpings kommun som fall." Thesis, Linköpings universitet, Industriell miljöteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148883.
Повний текст джерелаOne of the greatest challenges the world is facing today is the negative environmental effects as a result from the linear economy used in societies, where products are constantly being produced from raw materials and end up as waste after the period of usage. Initiatives on many levels; local, regional, national and global are needed to create a circular economy which minimizes both the generation of waste and the extraction of raw materials. The European Union’s action plan for circular economy expresses that 75 % of all packaging waste should be recycled by 2030. In Sweden packaging waste is being recycled between 42,2 % (plastic waste) to 95 % (glass waste) and the curbside collection systems for packaging waste are quite well-developed, especially regarding waste systems for multi-family houses. For single-family houses the development has been slower, although several municipalities have introduced curbside collection systems for household waste including packaging and newspaper waste during the last years. It is a comprehensive and complex decision to invest in a new extended curbside collection and sorting system in a municipality and there are many aspects to consider. Since several previous inquiries regarding this type of decision lacks a systematic approach and clear objectives, the purpose of this study is to develop a method for conducting a systematic multi-criteria analysis of collection and sorting systems for single-family household waste in a municipality. Prior to the multi-criteria analysis a substantial evaluation of aspects related to the decision of a new waste system was made. The mapping and selection of aspects that were made provide great knowledge for municipalities facing this kind of decision. The developed multi-criteria analysis is based on the generic form of a multi-criteria analysis, using the municipality of Linköping and Tekniska verken as case. As a result, the range of waste systems evaluated have been selected according to the preferences of Linköping municipality. The developed multi-criteria analysis has been transferred to a user-friendly tool for decision makers at municipalities who wish to assess and compare extended collection and sorting systems for single-family household waste. The study has resulted in the following criteria which should be considered in an inquiry of waste systems for single-family houses in a municipality, where resource efficiency is highly prioritized:
Книги з теми "Method of multicriteria classification"
Doumpos, Michael. Multicriteria decision aid classification methods. Dordrecht: Kluwer Academic Publishers, 2002.
Знайти повний текст джерелаConstantin, Zopounidis, ed. Multicriteria decision aid classification methods. Dordrecht: Kluwer Academic Publishers, 2002.
Знайти повний текст джерела1948-, Matusov Joseph B., ed. Multicriteria analysis in engineering: Using the PSI method with MOVI 1.0. Dordrecht: Kluwer Academic Publishers, 2002.
Знайти повний текст джерела1977-, Bowern Claire, and Koch Harold James, eds. Australian languages: Classification and the comparative method. Amsterdam: John Benjamins Pub., 2004.
Знайти повний текст джерелаTang, Xiaoou. Dominant run-length method for image classification. [Woods Hole, Mass: Woods Hole Oceanographic Institution, 1997.
Знайти повний текст джерелаTang, Xiaoou. Dominant run-length method for image classification. [Woods Hole, Mass: Woods Hole Oceanographic Institution, 1997.
Знайти повний текст джерелаSustainable packaging?: A multicriteria evaluation method for food packaging : Poliedro, Pollenzo index enviromental and economics design = Packaging sostenibile? : metodo multicriteria di valutazione del packaging alimentare. Torino: Umberto Allemandi & C., 2013.
Знайти повний текст джерелаDas, Indraneel. Normal-boundary intersection: An alternate method for generating Pareto optimal points in multicriteria optimization problems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.
Знайти повний текст джерелаAlberta. Alberta Sustainable Resource Development. Alberta IFN stream classification assessment project validation of the recommended method. Calgary: Golder Associates, 2004.
Знайти повний текст джерелаMukherji, Shekhar. Functional classification of Indian towns by factor-cluster method, 1981 and 1991. Bombay, India: International Institute for Population Sciences, 1994.
Знайти повний текст джерелаЧастини книг з теми "Method of multicriteria classification"
Deng, Weibin, Guoyin Wang, Shuangxia Yang, and Feng Hu. "A New Method for Inconsistent Multicriteria Classification." In Rough Sets and Knowledge Technology, 600–609. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24425-4_76.
Повний текст джерелаZgurovsky, Michael, Victor Sineglazov, and Elena Chumachenko. "Classification and Analysis of Multicriteria Optimization Methods." In Studies in Computational Intelligence, 59–174. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48453-8_2.
Повний текст джерелаDoumpos, Michael, and Constantin Zopounidis. "On the Use of Multicriteria Classification Methods: A Simulation Study." In Aiding Decisions with Multiple Criteria, 211–28. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0843-4_10.
Повний текст джерелаOgryczak, Włodzimierz. "Preemptive Reference Point Method." In Multicriteria Analysis, 156–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_16.
Повний текст джерелаStam, Antonie, and A. Pedro Duarte Silva. "A Multiplicative Method for Synthesizing Preference Ratings." In Multicriteria Analysis, 94–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_10.
Повний текст джерелаMiettinen, Kaisa, and Marko M. Mäkelä. "Interactive Method NIMBUS for Nondifferentiable Multiobjective Optimization Problems." In Multicriteria Analysis, 310–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_30.
Повний текст джерелаKirilov, Leonid M., and Vassil S. Vassilev. "A Method for Solving Multiple Objective Linear Programming Problems." In Multicriteria Analysis, 302–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_29.
Повний текст джерелаSakawa, Masatoshi, and Hitoshi Yano. "A Fuzzy Decomposition Method by Right-Hand-Side Allocation for Large-Scale Multiobjective Nonlinear Programming Problems." In Multicriteria Analysis, 237–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_23.
Повний текст джерелаStatnikov, Roman B., and Joseph B. Matusov. "Multicriteria Optimization and Parameter Space Investigation Method." In Multicriteria Analysis in Engineering, 3–42. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9968-9_1.
Повний текст джерелаDalezios, Nicolas R., Kostas Mitrakopoulos, and Basil Manos. "Multi-scaling Agroclimatic Classification for Decision Support Towards Sustainable Production." In Multicriteria Analysis in Agriculture, 1–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76929-5_1.
Повний текст джерелаТези доповідей конференцій з теми "Method of multicriteria classification"
Lahdelma, R., and P. Salminen. "A Method for Ordinal Classification in Multicriteria Decision Making." In Artificial Intelligence and Applications. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-065.
Повний текст джерелаBrasil Filho, Amaury T., Placido R. Pinheiro, Andre L. V. Coelho, and Nathanael C. Costa. "Comparison of two prototype-based multicriteria classification methods." In 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (MCDM). IEEE, 2009. http://dx.doi.org/10.1109/mcdm.2009.4938840.
Повний текст джерелаMendonca Silva, Maisa, Ana Paula H. Gusmao, Thrcylla R. N. Clemente, Katarina T. M. Santiago, and Ana Paula C. S. Costa. "A Multicriteria Nominal Classification Method to Define Public Safety Policies in Brazilian States." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00526.
Повний текст джерелаCosta, Nathanael C., Amaury T. Brasil Filho, Andre L. V. Coelho, and Placido R. Pinheiro. "Selecting prototypes for two multicriteria classification methods: A comparative study." In 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nabic.2009.5393620.
Повний текст джерелаBrigui-Chtioui, I., and I. Saad. "Multiagent framework for group multicriteria classification." In 2016 International Conference on Industrial Informatics and Computer Systems (CIICS). IEEE, 2016. http://dx.doi.org/10.1109/iccsii.2016.7462443.
Повний текст джерелаKrtolica, Radovan V. "Multicriteria character classification using Pareto optimality." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Donald P. D'Amato. SPIE, 1993. http://dx.doi.org/10.1117/12.143625.
Повний текст джерелаDel Amo, Ana, Luis Garmendia, Daniel Gomez, and Javier Montero. "A Spatial Classification Model for Multicriteria Analysis." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369112.
Повний текст джерелаSassi, Imene, Nabil Belacel, Yassine Bouslimani, Habib Hamam, and Rabah Attia. "Multicriteria classification for photonic crystal fiber design." In Photonics North 2008, edited by Réal Vallée, Michel Piché, Peter Mascher, Pavel Cheben, Daniel Côté, Sophie LaRochelle, Henry P. Schriemer, Jacques Albert, and Tsuneyuki Ozaki. SPIE, 2008. http://dx.doi.org/10.1117/12.807167.
Повний текст джерелаYe, Weilong. "ABC Inventory Classification Based on Multicriteria Optimization." In First International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40932(246)667.
Повний текст джерелаSantos, Sara, Luis Miguel D. F. Ferreira, and Amílcar Arantes. "Proposal of an SKU Classification Framework - A Multicriteria Approach." In International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005287004130418.
Повний текст джерелаЗвіти організацій з теми "Method of multicriteria classification"
Tang, Xiaoou. Dominant Run-Length Method for Image Classification. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada329351.
Повний текст джерелаBackman, G. E., J. T. Denovan, N. P. Nisick, and J. A. Piatt. Hazard classification method for facilities containing toxic chemicals at the Pacific Northwest Laboratory. Office of Scientific and Technical Information (OSTI), July 1986. http://dx.doi.org/10.2172/5492679.
Повний текст джерелаPavlicheva, E. N., V. P. Meshalkin, and N. S. CHikunov. Algorithm for processing text data for an automatic classification problem using the word2vec method. OFERNIO, February 2021. http://dx.doi.org/10.12731/ofernio.2021.24759.
Повний текст джерелаHunter, C. A RECOMMENDED PASQUILL-GIFFORD STABILITY CLASSIFICATION METHOD FOR SAFETY BASIS ATMOSPHERIC DISPERSION MODELING AT SRS. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1037732.
Повний текст джерелаRennhofer, Marcus, and Tim Selke. Report on a new and universal classification method “new generation solar cooling square view” for generic systems. IEA SHC Task 53, June 2019. http://dx.doi.org/10.18777/ieashc-task53-2019-0003.
Повний текст джерелаKim, Inhwa, Yunja Nam, and Sungmin Kim. Development of Classification Method of the Flattened Body Surface Figures for the Mass Customization of Men's Formal Jacket. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1897.
Повний текст джерелаGlushko, E. Ya, and A. N. Stepanyuk. The multimode island kind photonic crystal resonator: states classification. SME Burlaka, 2017. http://dx.doi.org/10.31812/0564/1561.
Повний текст джерелаMessner, M. C., Robert I. Jetter, Yanli Wang, and T. L. Sham. Initial Development of an Improved Creep-Fatigue Design Method that Avoids the Separate Evaluation of Creep and Fatigue Damage and Eliminates the Requirement for Stress Classification. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1601808.
Повний текст джерелаCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Повний текст джерелаCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Повний текст джерела