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1

AMARAL, JORGE LUIS M. DO. "ARTIFICIAL IMMUNE SYSTEMS APPLIED TO FAULT DETECTION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8236@1.

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UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO<br>Este trabalho investiga métodos de detecção de falhas baseados em sistemas imunológicos artificiais, especificamente aqueles baseados no algoritmo de seleção negativa (NSA) e em outras técnicas de reconhecimento próprio/nãopróprio. Inicialmente, foi proposto um esquema de representação baseado em hiperesferas com centros e raios variáveis e três modelos capazes de gerar detectores, com esta representação, de forma eficiente. O primeiro modelo utiliza algoritmos genéticos onde cada gene do cromossomo contém um índice para um ponto de uma distr
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2

Maree, Charl. "Diagnostic monitoring of dynamic systems using artificial immune systems." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/1780.

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Thesis (MScEng (Process Engineering))--University of Stellenbosch, 2006.<br>The natural immune system is an exceptional pattern recognition system based on memory and learning that is capable of detecting both known and unknown pathogens. Artificial immune systems (AIS) employ some of the functionalities of the natural immune system in detecting change in dynamic process systems. The emerging field of artificial immune systems has enormous potential in the application of fault detection systems in process engineering. This thesis aims to firstly familiarise the reader with the various cu
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3

Shi, Arthur Q. X. "Structural Damage Assessment Using Artificial Neural Networks and Artificial Immune Systems." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1499.

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Structural health monitoring (SHM) systems have been technologically advancing over the past few years. Improvements in fabrication and microelectronics allow the development of highly sophisticated sensor arrays, capable of detecting and transmitting an unprecedented amount of data. As the complexity of the hardware increases, research has been performed in developing the means to best utilize and effectively process the data. Algorithms from other computational fields are being introduced for the first time into SHM systems. Among them, the artificial neural network (ANN) and artificial immu
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4

Lay, Nicholas Christopher. "Enhancing real-time embedded systems development using artificial immune systems." Thesis, University of York, 2009. http://etheses.whiterose.ac.uk/1419/.

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The Consumer Electronics industry produces a large number of systems which exhibit both real-time and embedded properties (RTES). Frequently problems are encountered during the development of these systems due to a mismatch between the requirements of traditional real-time development techniques and the restrictions imposed on the development process by the retail market. There is therefore a requirement for a method which can be used to enhance the development process and improve the reliability of these systems, yet which does not require the intensive formal analysis often required by estab
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5

Zarges, Christine [Verfasser]. "Theoretical foundations of artificial immune systems / Christine Zarges." Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2011. http://d-nb.info/1018083537/34.

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6

Qiu, Xueni, and 邱雪妮. "Artificial immune systems for job shop scheduling problems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49617576.

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Effective process scheduling is very important to the modern manufacturing production. This research addresses a classical scheduling problem — the job shop scheduling problem from the standpoint of both static and dynamic environment. In this study, the job shop scheduling problem (JSSP) is investigated in three aspects: (1) static JSSP that operates under a static scheduling environment with known information about the jobs and machines without unexpected events; (2) semi-dynamic JSSP which is developed based on static JSSP but violating the non-operation disruption assumption due to the pr
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7

Bondal, Akshata A. "Artificial Immune Systems Applied to Job Shop Scheduling." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1204990296.

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8

Davoudani, Despina. "Specknets : a case study for artificial immune systems." Thesis, Edinburgh Napier University, 2012. http://researchrepository.napier.ac.uk/Output/5220.

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9

Gasir, Fathi Sidig. "Optimization of fuzzy regression trees using artificial immune systems." Thesis, Manchester Metropolitan University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574508.

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This thesis presents the development of a novel fuzzy regression tree algorithm known as Elgasir, which is based on the CHAID regression tree algorithm and Takagi-Sugeno fuzzy inference. The Elgasir Algorithm is applied to crisp regression trees to produce fuzzy regression trees in order to soften sharp decision boundaries inherited in crisp trees. Elgasir generates a fuzzy rule base by applying fuzzy techniques to crisp regression trees using Trapezoidal membership functions. Then Takagi-Sugeno fuzzy inference is used to aggregate the final output from the fuzzy implications. A novel optimiza
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10

Al-Enezi, Jamal. "Artificial immune systems based committee machine for classification application." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6826.

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A new adaptive learning Artificial Immune System (AIS) based committee machine is developed in this thesis. The new proposed approach efficiently tackles the general problem of clustering high-dimensional data. In addition, it helps on deriving useful decision and results related to other application domains such classification and prediction. Artificial Immune System (AIS) is a branch of computational intelligence field inspired by the biological immune system, and has gained increasing interest among researchers in the development of immune-based models and techniques to solve diverse comple
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11

Timmis, Jonathan Ian. "Artificial immune systems : a novel data analysis technique inspired by the immune network theory." Thesis, University of Kent, 2000. https://kar.kent.ac.uk/21989/.

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This thesis presents a novel data analysis technique inspired by the natural immune system. Immunological metaphors were extracted, simplified and applied to create an effective data analysis technique. This thesis builds on foundations of previous work, extracts salient features of the immune system and creates a principled and effective data analysis technique. Throughout this thesis, a methodical and principled approach was adopted. Previous work, along with background immunology was extensively surveyed. Problems with previous research were identified and principles from immunology were ex
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12

Mohd, Azmi Nurulhuda Firdaus. "Artificial immune systems for information filtering : focusing on profile adaptation." Thesis, University of York, 2014. http://etheses.whiterose.ac.uk/6695/.

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The human immune system has characteristics such as self-organisation, robustness and adaptivity that may be useful in the development of adaptive systems. One suitable application area for adaptive systems is Information Filtering (IF). Within the context of IF, learning and adapting user profiles is an important research area. In an individual profile, an IF system has to rely on the ability of the user profile to maintain a satisfactory level of filtering accuracy for as long as it is being used. This thesis explores a possible way to enable Artificial Immune Systems (AIS) to filter informa
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13

FASANOTTI, Luca. "A Distributed Intelligent Maintenance System based on Artificial Immune Approach and Multi-Agent Systems." Doctoral thesis, Università degli studi di Bergamo, 2016. http://hdl.handle.net/10446/63690.

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14

Pacheco, José. "Computational Power of Killers and Helpers in the Immune System." Master's thesis, Department of Informatics, University of Lisbon, 2004. http://hdl.handle.net/10451/13958.

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The natural immune system is a subject of great research interest because of its powerful information processing capabilities. It uses characteristics such as learning, memory and associative retrieval to solve recognition and classification tasks. The model presented in this work belongs to the class of models introduced by Farmer et al and is inspired by the hypothesis of clonal selection theory and idiotypic network introduced by Niels Jerne. The main objective is to present a modified Immunological Algorithm that can be used in order to solve problems much in the way that Evolutionary Algo
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15

Twycross, Jamie Paul. "Integrated innate and adaptive artificial immune systems applied to process anomaly detection." Thesis, University of Nottingham, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438454.

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16

Zareen, Farhath. "Detecting RTL Trojans Using Artificial Immune Systems and High Level Behavior Classification." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7992.

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Security assurance in a computer system can be viewed as distinguishing between self and non-self. Artificial Immune Systems (AIS) are a class of machine learning (ML) techniques inspired by the behavior of innate biological immune systems, which have evolved to accurately classify self-behavior from non-self-behavior. This work aims to leverage AIS-based ML techniques for identifying certain behavioral traits in high level hardware descriptions, including unsafe or undesirable behaviors, whether such behavior exists due to human error during
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Leung, Kan Hing Kevin, and kleung19@yahoo com. "An Investigation of Artificial Immune Systems and Variable Selection Techniques for Credit Scoring." RMIT University. Business Information Technology, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20091015.100540.

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Most lending institutions are aware of the importance of having a well-performing credit scoring model or scorecard and know that, in order to remain competitive in the credit industry, it is necessary to continuously improve their scorecards. This is because better scorecards result in substantial monetary savings that can be stated in terms of millions of dollars. Thus, there has been increasing interest in the application of new classifiers in credit scoring from both practitioners and researchers in the last few decades. Most of the recent work in this field has focused on the use of new a
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18

Andrews, Paul Simon. "An Investigation of a Methodology for the Development of Artificial Immune Systems : A Case-Study in Immune Receptor Degeneracy." Thesis, University of York, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503305.

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19

Rahiman, Farzana. "The effects of artificial and natural sweeteners on various physiological systems." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5279_1319022790.

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This study aimed to investigate the effects of commercially available natural (sugar cane molasses, white sugar and brown sugar) and artificial (Canderel™, Equal™, Natreen™, Sweetex™, Splenda™ and Swheet™) sweeteners on various physiological systems. The artificial sweeteners tested in this study may be categorised into their respective groups based on their primary ingredient. The brands Canderel™ and Equal™ contain aspartame, Natreen™ and Sweetex™ consist of saccharin and Splenda™ and Swheet™ are composed of sucralose. The inclusion of artificial or natural sweeteners
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20

Jaradat, Mohammad Abdel Kareem Rasheed. "A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4780.

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In this study, an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented, addressing the problem with possible multiple faults, which is based on conventional fuzzy soft clustering and artificial immune system (AIS). The proposed hybrid system approach consists of three main phases. In the first phase signal separation is performed using the Fuzzy C-Means (FCM) algorithm. Subsequently a single (fused) signal based on the information provided from the sensor signals is generated by the fusion engine. The information provided from the previous two phases
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21

Secker, Andrew D. "Artificial immune systems for Web content mining : focusing on the discovery of interesting information." Thesis, University of Kent, 2006. https://kar.kent.ac.uk/14473/.

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This thesis explores the way in which biological metaphors can be applied to web content mining and, more specifically, the identification of interesting information in web documents. Web content mining is the use of content found on the web, most usually the text found on web pages, for data mining tasks such as classification. Due to the nature of the search domain, i.e. the web content is noisy and undergoing constant change, an adaptive system is required. The discovery of interesting information is an advance on basic text mining in that it aims to identify text that is novel, unexpected
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22

Hamid, A. "Artificial immune systems for optimization, clustering and classification applications in chemical sciences and engineering." Thesis(M.Sc.), CSIR-National Chemical Laboratory, Pune, 2012. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2110.

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23

Wong, Wing-ki Vicky. "An immunity-based distributed multiagent control framework." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37314348.

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24

Borges, Ederson. "Um novo algoritmo imunológico artificial para agrupamento de dados." Universidade Presbiteriana Mackenzie, 2010. http://tede.mackenzie.br/jspui/handle/tede/1511.

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Made available in DSpace on 2016-03-15T19:38:14Z (GMT). No. of bitstreams: 1 Ederson Borges.pdf: 626219 bytes, checksum: d83887c1b3e2287f434525ac9701f0c7 (MD5) Previous issue date: 2010-01-27<br>Clustering is an important data mining task from the field of Knowledge Discovery in Databases. There are several algorithms capable of performing clustering tasks, and the most popular ones involve the calculation of a similarity or distance measure among objects from the database. Many algorithms can perform clustering in a simple and efficient manner, but have drawbacks as a way to get the optimal
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25

Rampazzo, Priscila Cristina Berbert 1984. "Sistema imunologico artificial para otimização multiobjetivo." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261870.

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Orientador: Akebo Yamakami<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-11T03:11:24Z (GMT). No. of bitstreams: 1 Rampazzo_PriscilaCristinaBerbert_M.pdf: 1295026 bytes, checksum: ad0738bc161445ec5b9f0db0db565f09 (MD5) Previous issue date: 2008<br>Resumo: O objetivo desta dissertação é explorar a utilização de um Sistema Imunológico Artificial, baseado no princípio de Seleção Clonal, na resolução de problemas de Otimização Multiobjetivo. Os Sistemas Imunológicos Artificiais apresentam, em
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26

Wong, Wing-ki Vicky, and 黃穎琪. "An immunity-based distributed multiagent control framework." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37314348.

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27

Astiazara, Mauricio Volkweis. "Sistema imunológico artificial para predição de fraudes e furtos de energia elétrica." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/54863.

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Neste trabalho é analisada a aplicação da técnica de Sistemas Imunológicos Artificiais (SIA) a um problema do mundo real: como predizer fraudes e furtos de energia elétrica. Vários trabalhos tem mostrado que épossível detectar padrões de dados anormais a partir dos dados de consumidores de energia elétrica e descobrir problemas como fraude e furto. Sistemas Imunológicos Artificiais é um ramo recente da Inteligência Computacional e tem diversas possíveis aplicações, sendo uma delas o reconhecimento de padrões. Mais de um algoritmo pode ser empregado para criar um SIA; no escopo deste trabalho s
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28

Ribeiro, Sildenir Alves. "Sistema imune artificial para o problema de escalonamento Job Shop." Universidade Federal do Espírito Santo, 2006. http://repositorio.ufes.br/handle/10/6365.

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Made available in DSpace on 2016-12-23T14:33:37Z (GMT). No. of bitstreams: 1 dissertacao.pdf: 1052399 bytes, checksum: b17ce224ca3822e277c997fd00bd2c67 (MD5) Previous issue date: 2006-11-29<br>Este trabalho apresenta um Sistema Imune Artificial (SIA) para tratar problemas de escalonamento. O Sistema Imunológico Artificial desenvolvido neste projeto baseia-se na estrutura arquitetura e funcionamento dos Sistemas Imunes Biológicos ou Naturais. O uso de Algoritmo Genético (AG) fez-se necessário para gerar os indivíduos a serem escalonados, representando os antígenos e anticorpos do SIA. Cad
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Kanwal, Summrina. "Towards a novel medical diagnosis system for clinical decision support system applications." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/25397.

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Clinical diagnosis of chronic disease is a vital and challenging research problem which requires intensive clinical practice guidelines in order to ensure consistent and efficient patient care. Conventional medical diagnosis systems inculcate certain limitations, like complex diagnosis processes, lack of expertise, lack of well described procedures for conducting diagnoses, low computing skills, and so on. Automated clinical decision support system (CDSS) can help physicians and radiologists to overcome these challenges by combining the competency of radiologists and physicians with the capabi
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30

Gadre, Aditya Shrikant. "Learning Strategies in Multi-Agent Systems - Applications to the Herding Problem." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/36116.

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<p> "Multi-Agent systems" is a topic for a lot of research, especially research involving strategy, evolution and cooperation among various agents. Various learning algorithm schemes have been proposed such as reinforcement learning and evolutionary computing. </p><p> In this thesis two solutions to a multi-agent herding problem are presented. One solution is based on Q-learning algorithm, while the other is based on modeling of artificial immune system. </p><p> Q-learning solution for the herding problem is developed, using region-based local learning for each individual agent. Individual an
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31

Pinto, Jose Carlos Lima. "Algoritmo de detecção de falhas para sistemas telefonicos utilizando a teoria do perigo." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259069.

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Orientador: Fernando Jose Von Zuben<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-11T02:37:26Z (GMT). No. of bitstreams: 1 Pinto_JoseCarlosLima_M.pdf: 2121571 bytes, checksum: 9c655f127eb2b45c71b750509a43c3a1 (MD5) Previous issue date: 2006<br>Resumo: Essa dissertação apresenta um algoritmo de detecção de falhas composto de múltiplos módulos interconectados e operando de acordo com o paradigma suportado pela Teoria do Perigo em imunologia. Esse algoritmo busca atingir características sign
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32

Shimo, Helder Ken. "Auto-organização da população em sistemas imunológicos artificiais aplicada ao docking de proteínas." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-30082012-161501/.

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Vários problemas do mundo real podem ser analisados como problemas de otimização. Na bioinformática, em especial, como exemplos podem ser citados o alinhamento múltiplo de sequências, a filogenia, a predição de estruturas de proteínas e RNA, entre outros. As Meta-heurísticas Populacionais (MhP) são técnicas baseadas em interações de conjuntos de soluções candidatas, como elementos de uma população, utilizadas na otimização de funções. Seu uso é especialmente interessante na otimização de problemas onde há conhecimento parcial ou nenhum do espaço de busca. O objetivo deste trabalho é investigar
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33

Francisco, Daniela Oliveira. "Aplicação de algoritmos bio-inspirados ao problema de geração automática de grades horárias." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-26082013-104459/.

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A geração de grades horárias de qualidade é um fator crítico em qualquer instituição de ensino, tanto em escolas de ensino fundamental/médio como em universidades. Este problema é considerado complexo, pois devem ser relacionados e otimizados diversos recursos, tais como horários, disciplinas, professores e alunos. Em grande parte das instituições de ensino, a geração de grades horárias é realizada manualmente, o que vem a tornar este processo custoso e sujeito a falhas. Diversas abordagens são também encontradas na literatura para resolução deste problema, nas quais foram aplicados métodos de
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Cunha, Danilo Souza da. "Evolução de regras de associação para recomendação de produtos em comércio eletrônico." Universidade Presbiteriana Mackenzie, 2013. http://tede.mackenzie.br/jspui/handle/tede/1447.

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Made available in DSpace on 2016-03-15T19:37:52Z (GMT). No. of bitstreams: 1 Danilo Souza da Cunha.pdf: 1082171 bytes, checksum: 4d2c64017c5641baf212b0fe377da373 (MD5) Previous issue date: 2013-10-23<br>Fundo Mackenzie de Pesquisa<br>E-commerce has been growing rapidly over the past years. Various products, services, and information are constantly offered to millions of internet users. Defining an adequate strategy to offer a product to a customer is the main goal of a recommender system. To do so, the items to be offered have to take into account the interests of each customer. This associa
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Morim, Daniel dos Santos. "Uso de detectores de dimensões variáveis aplicados na detecção de anomalias através de sistemas imunológicos artificiais." Universidade do Estado do Rio de Janeiro, 2009. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7525.

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O presente trabalho investiga um método de detecção de anomalias baseado em sistemas imunológicos artificiais, especificamente em uma técnica de reconhecimento próprio/não-próprio chamada algoritmo de seleção negativa (NSA). Foi utilizado um esquema de representação baseado em hiperesferas com centros e raios variáveis e um modelo capaz de gerar detectores, com esta representação, de forma eficiente. Tal modelo utiliza algoritmos genéticos onde cada gene do cromossomo contém um índice para um ponto de uma distribuição quasi-aleatória que servirá como centro do detector e uma função decodificad
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Oliveira, Isabela Liane [UNESP]. "Sistema de coleta, análise e detecção de código malicioso baseado no sistema imunológico humano." Universidade Estadual Paulista (UNESP), 2012. http://hdl.handle.net/11449/89338.

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Made available in DSpace on 2014-06-11T19:24:01Z (GMT). No. of bitstreams: 0 Previous issue date: 2012-03-26Bitstream added on 2014-06-13T19:26:53Z : No. of bitstreams: 1 oliveira_il_me_sjrp.pdf: 432754 bytes, checksum: d67c9dc954bf3fa2db823177db9151a6 (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)<br>Os códigos maliciosos (malware) podem causar danos graves em sistemas de computação e dados. O mecanismo que o sistema imunológico humano utiliza para proteger e detectar os organismos que ameaçam o c
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Vránsky, Radovan. "Techniky umělé inteligence pro detekci spamů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236164.

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This thesis deals with various methods used for spam detection and identification. In the introduction various methods are described. Then Bayes' theorem and methods for spam detection that use this theorem are described in detail. This section also discusses biological and artificial immune systems and methods for spam detection based on artificial immune systems. Next sections contain the description of custom spam detection system design and implementation. Finally the system is tested and the results are evaluated.
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Poggiolini, Mario. "The feature detection rule and its application within the negative selection algorithm." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06262009-112502/.

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Michelan, Roberto. "Evolução de redes imunologicas para coordenação automatica de comportamentos elementares em navegação autonoma de robos." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261757.

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Orientadores: Fernando Jose Von Zuben, Mauricio Fernandes Figueiredo<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-06T19:35:31Z (GMT). No. of bitstreams: 1 Michelan_Roberto_M.pdf: 4495515 bytes, checksum: aed72feefc89070579190e862ea0f740 (MD5) Previous issue date: 2006<br>Resumo: A concepção de sistemas autônomos de navegação para robôs móveis, havendo múltiplos objetivos simultâneos a serem atendidos, como a coleta de lixo com manutenção da integridade, requer a adoção de técnicas refina
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Lima, Fernando Parra dos Anjos [UNESP]. "Diagnóstico de distúrbios de tensão em sistemas de distribuição baseado num sistema imunológico artificial com aprendizado continuado." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/144531.

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Submitted by FERNANDO PARRA DOS ANJOS LIMA null (engfernandoparra@gmail.com) on 2016-10-31T11:47:54Z No. of bitstreams: 1 Fernando Parra A. Lima.pdf: 3667307 bytes, checksum: 0d206b9c09566cdb11de101b84976228 (MD5)<br>Approved for entry into archive by Felipe Augusto Arakaki (arakaki@reitoria.unesp.br) on 2016-11-07T16:42:09Z (GMT) No. of bitstreams: 1 lima_fpa_dr_ilha.pdf: 3363973 bytes, checksum: d8849cdd159a11920c497d025a8ae16a (MD5)<br>Made available in DSpace on 2016-11-07T16:42:09Z (GMT). No. of bitstreams: 1 lima_fpa_dr_ilha.pdf: 3363973 bytes, checksum: d8849cdd159a11920c497d025a8ae
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41

Lima, Fernando Parra dos Anjos. "Diagnóstico de distúrbios de tensão em sistemas de distribuição baseado num sistema imunológico artificial com aprendizado continuado /." Ilha Solteira, 2016. http://hdl.handle.net/11449/144531.

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Orientador: Carlos Roberto Minussi<br>Resumo: Esta pesquisa é dedicada ao desenvolvimento de uma metodologia para a realização do diagnóstico de distúrbios de tensão de sistemas de distribuição de energia elétrica, baseada no uso de sistemas imunológicos artificiais (SIA). Trata-se da proposição de um novo paradigma no ambiente dos SIA que confere o aprendizado de modo contínuo (plasticidade). Esta concepção permite compor um sistema de diagnóstico apto a aprender continuamente, contemplando novos tipos de distúrbios advindos da constante evolução do setor elétrico, sem a necessidade de reinic
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42

Alkilicgil, Erdem. "User Modeling In Mobile Environment." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606852/index.pdf.

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The popularity of e-commerce sites and applications that use recommendations and user modeling is increased recently. The development and contest in tourism calls attention of large-scale IT companies. These companies have started to work on recommendation systems and user modeling on tourism sector. Some of the clustering methodologies, neighboring methods and machine learning algorithms are commenced to use for making predictions about tourist&rsquo<br>s interests while he/she is traveling around the city. Recommendation ability is the most interesting thing for a tourist guide application.
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43

França, Fabricio Olivetti de. "Algoritmos bio-inspirados aplicados a otimização dinamica." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259091.

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Orientadores: Fernando Jose Von Zuben, Leandro Nunes de Castro<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-14T19:14:33Z (GMT). No. of bitstreams: 1 Franca_FabricioOlivettide_M.pdf: 2824607 bytes, checksum: 3de6277fbb2c8c3460d62b4d81d14f73 (MD5) Previous issue date: 2005<br>Resumo: Esta dissertação propõe algoritmos bio-inspirados para a solução de problemas de otimização dinâmica, ou seja, problemas em que a superfície de otimização no espaço de busca sofre variações diversas ao longo d
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44

Botelho, Daniel Fioresi. "Planejamento da geração distribuida com foco na confiabilidade." Universidade Federal de Juiz de Fora (UFJF), 2018. https://repositorio.ufjf.br/jspui/handle/ufjf/7901.

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Submitted by Geandra Rodrigues (geandrar@gmail.com) on 2018-10-16T12:46:06Z No. of bitstreams: 1 danielfioresibotelho.pdf: 2805489 bytes, checksum: 3d0b4a60f2a2f2cb7d26ea836254595a (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-10-16T14:35:42Z (GMT) No. of bitstreams: 1 danielfioresibotelho.pdf: 2805489 bytes, checksum: 3d0b4a60f2a2f2cb7d26ea836254595a (MD5)<br>Made available in DSpace on 2018-10-16T14:35:42Z (GMT). No. of bitstreams: 1 danielfioresibotelho.pdf: 2805489 bytes, checksum: 3d0b4a60f2a2f2cb7d26ea836254595a (MD5) Previous issue
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45

Knidel, Helder. "Extensões e aplicações de redes neuro-imunológicas." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259092.

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Orientadoesr: Fernando José Von Zuben, Leandro Nunes de Castro<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-17T00:46:41Z (GMT). No. of bitstreams: 1 Knidel_Helder_M.pdf: 7578387 bytes, checksum: d653b5bd7e4bf2758525ced52374d42d (MD5) Previous issue date: 2006<br>Resumo: Esta dissertação propõe a extensão e desenvolvimento de ferramentas imuno-inspiradas. As ferramentas desenvolvidas destinam-se à resolução de problemas de agrupamento e classificação de dados com atributos binários ou rea
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46

Oliveira, Isabela Liane. "Sistema de coleta, análise e detecção de código malicioso baseado no sistema imunológico humano /." São José do Rio Preto : [s.n.], 2012. http://hdl.handle.net/11449/89338.

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Orientador: Adriano Mauro Cansian<br>Banca: Marcos Antonio Cavenaghi<br>Banca: Rafael Duarte Coelho dos Santos<br>Resumo: Os códigos maliciosos (malware) podem causar danos graves em sistemas de computação e dados. O mecanismo que o sistema imunológico humano utiliza para proteger e detectar os organismos que ameaçam o corpo humano demonstra ser eficiente e pode ser adaptado para a detecção de malware atuantes na Internet. Neste contexto, propõe-se no presente trabalho um sistema que realiza coleta distribuída, análise e detecção de programas maliciosos, sendo a detecção inspirada no sistema i
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47

Caetano, Marcelo Freitas. "Sintese sonora auto-organizavel atraves da aplicação de algoritmos bio-inspirados." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261756.

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Orientadores: Fernando Jose Von Zuben, Jonatas Manzolli<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-06T18:10:14Z (GMT). No. of bitstreams: 1 Caetano_MarceloFreitas_M.pdf: 11758987 bytes, checksum: 2521dc99ef68d0b0a4e06b9ea4751fc5 (MD5) Previous issue date: 2006<br>Resumo: Não há limitações teóricas para o uso do computador como fonte de sons musicais. O computador digital permite a produção de qualquer som concebivel dada a seqüência correta de números (amostras digitais). No entanto, p
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48

Green, Robert C. II. "Novel Computational Methods for the Reliability Evaluation of Composite Power Systems using Computational Intelligence and High Performance Computing Techniques." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1338894641.

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49

Joshi, Ayush. "The germinal centre artificial immune system." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7532/.

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This thesis deals with the development and evaluation of the Germinal centre artificial immune system (GC-AIS) which is a novel artificial immune system based on advancements in the understanding of the germinal centre reaction of the immune system. The key research questions addressed in this thesis are: can an artificial immune system (AIS) be designed by taking inspiration from recent developments in immunology to tackle multi-objective optimisation problems? How can we incorporate desirable features of the immune system like diversity, parallelism and memory into this proposed AIS? How doe
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50

Negi, Pallav. "Artificial Immune System based urban traffic control." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5764.

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Borrowing ideas from natural immunity, Artificial Immune Systems (AIS) offer a novel approach to solving many diagnosis, optimization and control problems. In the course of this research this paradigm was applied to the problem of optimizing urban traffic. The traffic was micro-simulated with each car on a two junction road system modeled individually. The cars themselves were programmed with 'personalities' to better simulate real traffic. A novel AIS was developed to detect, predict, and control anomalous traffic conditions. It was also used to optimize the flow of traffic through the road n
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