Now showing items 461-480 of 1952

    • Article  

      Computer-aided classification of breast cancer nuclei 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Schizas, Christos N.; Kyriacou, Kyriacos C.; Vassiliou, M. (1996)
      Breast cancer is the most common malignancy affecting the female population in industrialized countries. Prognostic factors, such as steroid receptors visualized in biopsy slides, provide critical information to oncologists ...
    • Conference Object  

      Fuzzy control of ABR traffic flow in ATM LANs 

      Sekercioglu, Y. Ahmet; Pitsillides, Andreas (IEEE, 1995)
      High-speed LANs are beginning to migrate from shared media to switch based configurations (commonly based on ATM architectures). Because of the characteristics of ATM networks and nature of LAN traffic, there is a need for ...
    • Conference Object  

      Intelligent control techniques for efficient regulation of ABR queue length in ATM switches 

      Sekercioglu, Y. Ahmet; Pitsillides, Andreas (1997)
      Designing effective congestion control strategies for broadband networks is known to be difficult because of the variety of dynamic parameters involved such as link speeds, burstiness of the traffic, the distances between ...
    • Article  

      Improved detection of breast cancer nuclei using modular neural networks 

      Schnorrenberg, F.; Tsapatsoulis, Nicolas; Pattichis, Constantinos S.; Schizas, Christos N.; Kollias, S.; Vassiliou, M.; Adamou, Adamos K.; Kyriacou, Kyriacos C. (2000)
      A modular neural network-based approach to detect and classify breast cancer nuclei stained for steroid receptors in hispathological sections is evaluated. The system named biopsy analysis support system (BASS) is designed ...
    • Article  

      Design tradeoffs for the Alpha EV8 conditional branch predictor 

      Seznec, A.; Felix, S.; Krishnan, V.; Sazeides, Yiannakis (2002)
      This paper presents the Alpha EV8 conditional branch predictor. The Alpha EV8 microprocessor project, canceled in June 2001 in a late phase of development, envisioned an aggressive 8-wide issue out-of-order superscalar ...
    • Article  

      Application acceleration with the cell broadband engine 

      Shi, G.; Kindratenko, V.; Pratas, F.; Trancoso, Pedro; Gschwind, M. (2010)
      The Cell Broadband Engine is a heterogeneous chip multiprocessor that combines a PowerPC processor core with eight single-instruction multiple-data accelerator cores and delivers high performance on many computationally ...
    • Conference Object  

      Computational intelligence in management of ATM networks: a survey of current state of research 

      Sekercioglu, Y. Ahmet; Pitsillides, Andreas; Vasilakos, Athanasios V. (1999)
      Today, a number of researchers are looking at alternative non-analytical control system design and modeling techniques that have the ability to devise effective, robust ATM network management schemes. Such schemes employ ...
    • Conference Object  

      Study of an adaptive fuzzy controller based on the adaptation of relative rule weights 

      Sekercioglu, Y. Ahmet; Pitsillides, Andreas; Egan, Gregory K. (1994)
      An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled ...
    • Article  

      Medical diagnostic systems: A case for neural networks 

      Schizas, Christos N.; Pattichis, Constantinos S.; Bonsett, C. A. (1994)
      Recent advances in computer technology offer to the medical profession specialized tools for gathering medical data, processing power, as well as fast storing and retrieving capabilities. Artificial intelligence (AI), an ...
    • Article  

      Content-based retrieval of breast cancer biopsy slides 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Schizas, Christos N.; Kyriacou, Kyriacos C. (2000)
      The Biopsy Analysis Support System (BASS), previously used for image analysis of immunohistochemically stained sections of breast carcinoma, has been extended to include indexing and content-based retrieval of biopsy slide ...
    • Conference Object  

      Detection of cell nuclei in breast biopsies using receptive fields 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Kyriacou, Kyriacos C.; Schizas, Christos N. (IEEE, 1994)
      A biopsy analysis support system, called BASS, is introduced. The system uses an unsupervised object detection loop involving center-surround receptive fields, and a nonlinearity to mark the location of cell nuclei in an ...
    • Article  

      Computer-aided detection of breast cancer nuclei 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Kyriacou, Kyriacos C.; Schizas, Christos N. (1997)
      A computer-aided detection system for tissue cell nuclei in histological sections is introduced and validated as part of the Biopsy Analysis Support System (BASS). Cell nuclei are selectively stained with monoclonal ...
    • Conference Object  

      Unsupervised learning in computer aided macroelectromyography 

      Schizas, Christos N.; Pattichis, Constantinos S.; Livesay, R. R.; Schofield, I. S.; Lazarou, K. X.; Middleton, Lefkos T. (Publ by IEEE, 1991)
      Normals and patients from three disorders have been selected for investigation: (1) motor neurone disease (MND)
    • Conference Object  

      Artificial neural net algorithms in classifying electromyographic signals 

      Schizas, Christos N.; Pattichis, Constantinos S.; Schofield, I. S.; Fawcett, P. R.; Middleton, Lefkos T. (Publ by IEE, 1989)
      The aim of this work is to examine how Artificial Neural Nets (ANN) can be used as a computerized method for electromyographic diagnosis. For this reason, a number of well defined neuromuscular disorders have been selected, ...
    • Conference Object  

      Neural networks in computer aided clinical electromyography 

      Schizas, Christos N.; Pattichis, Constantinos S.; Livesay, R. R.; Middleton, Lefkos T. (Publ by IEEE, 1991)
      In concentric needle electromyography, quantitative measurements are applied on the motor unit action potentials, which are recorded from the biceps muscle of normal subjects and patients suffering from neuromuscular ...
    • Article  

      Artificial Neural Nets in Computer-Aided Macro Motor Unit Potential Classification 

      Schizas, Christos N.; Pattichis, Constantinos S.; Schofield, I. S.; Fawcett, P. R.; Middleton, Lefkos T. (1990)
    • Conference Object  

      Personalized medicine - A challenge for cyprus 

      Schizas, Christos N. (IOS Press, 2014)
      We were told at school, "If you want to solve a problem you have to identify it first", you are then halfway towards the solution. This implied of course that the other half of the solution is a straight forward exercise, ...
    • Conference Object  

      Computational intelligent diagnostics systems in medicine 

      Schizas, Christos N. (IEEE, 1997)
      A literature search over the last few years has shown that there is a steady increase in publications on computer-based medical diagnostic applications, ranging from diagnostic aids for the physician or hospital staff, to ...
    • Article  

      Learning systems in biosignal analysis 

      Schizas, Christos N.; Pattichis, Constantinos S. (1997)
      In biosignal analysis, the utility of artificial neural networks (ANN) in classifying electromyographic (EMG) data trained with the momentum back propagation algorithm has recently been demonstrated. In the current study, ...
    • Conference Object  

      Artificial neural networks in forecasting minimum temperature 

      Schizas, Christos N.; Michaelides, Silas C.; Pattichis, Constantinos S.; Livesay, R. R. (Publ by IEE, 1991)
      Forcasting the minimum temperature(Tmin) is one of the most important operational practices carried out by Meteorological Services worldwide. The great interest in developing methods for more accurate predictions has led ...