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Πλοήγηση ανά Θέμα "Computer Science,"

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Αποτελέσματα 1-20 από 39

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      A 1 GHz, DDR2/3 SSTL driver with On-Die Termination, strength calibration and slew rate control 

      Plessas, F.; Davrazos, E.; Alexandropoulos, A.; Birbas, M.; Kikidis, J. (2012)
      A 1 GHz Double Data Rate 2/3 (DRR2/3) combo Stub Series Terminated Logic (SSTL) driven has been developed for the first time to our knowledge using a 90 nm CMOS process. To satisfy the signal integrity requirements the ...
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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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      Algorithms for energy-driven agent placement in wireless embedded systems with memory constraints 

      Tziritas, N.; Loukopoulos, T.; Lalis, S.; Lampsas, P. (2011)
      The agent programming paradigm provides an easy to use framework for coding embedded applications in a pervasive environment. Under this model, applications are structured as mobile agents that can be flexibly installed ...
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      Applications of singular-value decomposition (SVD) 

      Akritas, A. G.; Malaschonok, G. I. (2004)
      Let A be an m x n matrix with m greater than or equal to n. Then one form of the singular-value decomposition of A is A = U-T SigmaV, where U and V are orthogonal and Sigma is square diagonal. That is, UUT = I-rank(A), VVT ...
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      A Collaborative Biomedical Image-Mining Framework: Application on the Image Analysis of Microscopic Kidney Biopsies 

      Goudas, T.; Doukas, C.; Chatziioannou, A.; Maglogiannis, I. (2013)
      The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, such as data acquisition, preprocessing, segmentation, feature extraction, and classification. The ...
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      Comparative calculation of irrigation networks using Labye's method, the linear programming method and a simplified nonlinear method 

      Theocharis, M. E.; Tzimopoulos, C. D.; Sakellariou-Makrantonaki, M. A.; Yannopoulos, S. I.; Meletiou, I. K. (2010)
      The designating factors in the design of branched irrigation networks are the cost of pipes and the cost of pumping. They both depend directly on the hydraulic pump head. It is mandatory for this reason to calculate the ...
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      DDEMA: A data driven environment for multiphysics applications 

      Michopoulos, J.; Tsompanopoulou, P.; Houstis, E.; Rice, J.; Farhat, C.; Lesoinne, M.; Lechenault, F. (2003)
      In this paper we present the design of a multidisciplined problem solving environment (MPSE) for supporting an efficient prediction capability for the response of multiscale interdisciplinary continuous interacting systems. ...
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      Edge betweenness centrality: A novel algorithm for QoS-based topology control over wireless sensor networks 

      Cuzzocrea, A.; Papadimitriou, A.; Katsaros, D.; Manolopoulos, Y. (2012)
      In this paper we propose a novel topology-control algorithm, called edge betweenness centrality (EBC). EBC is based on the concept of betweenness centrality, which has been first introduced in the context of social network ...
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      Emergency Fall Incidents Detection in Assisted Living Environments Utilizing Motion, Sound, and Visual Perceptual Components 

      Doukas, C. N.; Maglogiannis, I. (2011)
      This paper presents the implementation details of a patient status awareness enabling human activity interpretation and emergency detection in cases, where the personal health is threatened like elder falls or patient ...
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      Enabling Location Privacy and Medical Data Encryption in Patient Telemonitoring Systems 

      Maglogiannis, I.; Kazatzopoulos, L.; Delakouridis, K.; Hadjiefthymiades, S. (2009)
      Patient telemonitoring systems (PTS) deal with the acquisition, processing, and secure transmission of a patient's physiological and physical parameters to a remote location, where expert medical knowledge is available. ...
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      Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy 

      Maglogiannis, I.; Delibasis, K. K. (2015)
      The interest in image dermoscopy has been significantly increased recently and skin lesion images are nowadays routinely acquired for a number of skin disorders. An important finding in the assessment of a skin lesion ...
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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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      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 sets in seismic inelastic analysis and design of reinforced concrete frames 

      Mistakidis, E. S.; Georgiou, D. N. (2003)
      In this paper, a new approach to the problem of estimating the structural response of systems with uncertain characteristics is presented. The approach is based on the theory of fuzzy sets, which allow the designers to ...
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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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      GRISSOM Platform: Enabling Distributed Processing and Management of Biological Data Through Fusion of Grid and Web Technologies 

      Chatziioannou, A. A.; Kanaris, I.; Doukas, C.; Moulos, P.; Kolisis, F. N.; Maglogiannis, I. (2011)
      Transcriptomic technologies have a critical impact in the revolutionary changes that reshape biological research. Through the recruitment of novel high-throughput instrumentation and advanced computational methodologies, ...
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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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      HELOW: A program for testing extreme homogeneity in meta-analysis 

      Zintzaras, E.; Ioannidis, J. P. (2014)
      Meta-analysis aims to synthesize results from different studies. Although, in a meta-analysis the presence of large between-study heterogeneity is routinely evaluated, in some instances is also important to probe whether ...
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      Identifying the Productive and Influential Bloggers in a Community 

      Akritidis, L.; Katsaros, D.; Bozanis, P. (2011)
      Social networking has become one of the most important trends on the Web, leading to the development of several social applications such as blogs. Blogs are locations on the Web where individuals are provided with the ...
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