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Πλοήγηση ανά Θέμα "Computer Science, Artificial Intelligence"

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Αποτελέσματα 1-20 από 41

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      ADVANCED CLASSIFICATION AND RULES-BASED EVALUATION OF MOTION, VISUAL AND BIOSIGNAL DATA FOR PATIENT FALL INCIDENT DETECTION 

      Doukas, C.; Maglogiannis, I. (2010)
      The monitoring of human physiological data, in both normal and abnormal situations of activity, is interesting for the purpose of emergency event detection, especially in the case of elderly people living on their own. ...
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      Application of fuzzy cognitive maps for cotton yield management in precision farming 

      Papageorgiou, E. I.; Markinos, A.; Gemptos, T. (2009)
      The management of cotton yield behavior in agricultural areas is a very important task because it influences and specifies the cotton yield production. An efficient knowledge-based approach utilizing the method of fuzzy ...
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      Back pressure based multicast scheduling for fair bandwidth allocation 

      Sarkar, S.; Tassiulas, L. (2005)
      We study the fair allocation of bandwidth in multicast networks with multirate capabilities. In multirate transmission, each source encodes its signal in layers. The lowest layer contains the most important information and ...
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      CDNs Content Outsourcing via Generalized Communities 

      Katsaros, D.; Pallis, G.; Stamos, K.; Vakali, A.; Sidiropoulos, A.; Manolopoulos, Y. (2009)
      Content distribution networks (CDNs) balance costs and quality in services related to content delivery. Devising an efficient content outsourcing policy is crucial since, based on such policies, CDN providers can provide ...
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      Duplicate record detection: A survey 

      Elmagarmid, A. K.; Ipeirotis, P. G.; Verykios, V. S. (2007)
      Often, in the real world, entities have two or more representations in databases. Duplicate records do not share a common key and/or they contain errors that make duplicate matching a difficult task. Errors are introduced ...
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      An efficient Recommendation System based on the Optimal Stopping Theory 

      Kolomvatsos, K.; Anagnostopoulos, C.; Hadjiefthymiades, S. (2014)
      A Recommendation System (RS) aims to deliver meaningful recommendations to users for items (e.g., music and books), which are of high interest to them. We consider an RS which directly communicates with a set of providers ...
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      Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators 

      Epitropakis, M. G.; Tasoulis, D. K.; Pavlidis, N. G.; Plagianakos, V. P.; Vrahatis, M. N. (2011)
      Differential evolution is a very popular optimization algorithm and considerable research has been devoted to the development of efficient search operators. Motivated by the different manner in which various search operators ...
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      Enhancing principal direction divisive clustering 

      Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2010)
      While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is ...
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      An environment for constructing and exploring visual models of logic propositions by young students 

      Fidas, C.; Politis, P.; Komis, V.; Avouris, N. (2006)
      This paper presents the main characteristics of Logic Models Creator (LMC). LMC is a new educational environment for young students to build and explore logic models in graphical form. LMC allows visual representation of ...
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      Evaluating an intelligent diagnosis system of historical text comprehension 

      Tsaganou, G.; Grigoriadou, M.; Cavoura, T.; Koutra, D. (2003)
      This work aims to present and evaluate a Fuzzy-Case Based Reasoning Diagnosis system of Historical Text Comprehension. The synergism of fuzzy logic and case based reasoning techniques handles the uncertainty in the acquisition ...
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      EXACT KNOWLEDGE HIDING IN TRANSACTIONAL DATABASES 

      Gkoulalas-Divanis, A.; Verykios, V. S. (2009)
      The hiding of sensitive knowledge in the form of frequent itemsets, has gained increasing attention over the past years. This paper highlights the process of border revision, which is essential for the identification of ...
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      Exact Knowledge Hiding through Database Extension 

      Gkoulalas-Divanis, A.; Verykios, V. S. (2009)
      In this paper, we propose a novel, exact border-based approach that provides an optimal solution for the hiding of sensitive frequent item sets by 1) minimally extending the original database by a synthetically generated ...
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      Exploring spatial data through computational intelligence: a joint perspective 

      Painho, M.; Vasilakos, A.; Bacao, F.; Pedrycz, W. (2005)
      The dramatic increase in geospatial data occasioned by developments in digital mapping, remote sensing, IT, and widespread generalization of Geographic Information Systems (GIS), emphasises the importance of exploring new ...
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      Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application 

      Papageorgiou, E. I.; Markinos, A. T.; Gemtos, T. A. (2011)
      This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, ...
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      Fuzzy regression analysis: An application on tensile strength of materials and hardness scales 

      Karakasidis, T. E.; Georgiou, D. N.; Nieto, J. J. (2012)
      In the present paper we use fuzzy linear regression analysis and fuzzy similarity to investigate the relation of various hardness scales to tensile strength of materials. We examine the relation of the Vickers, Brinell, ...
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      Granular neural networks for land use classification 

      Vasilakos, A.; Stathakis, D. (2005)
      Granulation of information is a new way to describe the increased complexity of natural phenomena. The lack of clear borders in nature calls for a more efficient way to process such data. Land use both in general but also ...
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      Hardware support for multithreaded execution of loops with limited parallelism 

      Dimitriou, G.; Polychronopoulos, C. (2005)
      Loop scheduling has significant differences in multithreaded from other parallel processors. The sharing of hardware resources imposes new scheduling limitations, but it also allows a faster communication across threads. ...
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      Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms 

      Epitropakis, M. G.; Plagianakos, V. P.; Vrahatis, M. N. (2010)
      In this paper, we study the class of Higher-Order Neural Networks and especially the Pi-Sigma Networks. The performance of Pi-Sigma Networks is evaluated through several well known Neural Network Training benchmarks. In ...
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      Hemispheric asymmetries of visual ERPs in left-handed bilinguals 

      Andreou, G.; Karapetsas, A. (2001)
      ERPs (NI, Pl, N2, P2) obtained from left and right occipital and temporal lobes were elicited in 30 left-handed highly proficient bilingual males in response to visually presented linguistic stimuli. The absence of ...
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      Hiding sensitive knowledge without side effects 

      Gkoulalas-Divanis, A.; Verykios, V. S. (2009)
      Sensitive knowledge hiding in large transactional databases is one of the major goals of privacy preserving data mining. However, it is only recently that researchers were able to identify exact solutions for the hiding ...
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