Browsing by Author "Schizas, Christos N."
Now showing items 1-20 of 137
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Article
APL AND GRAPH THEORY IN DYNAMIC SYSTEMS ANALYSIS.
Schizas, Christos N.; Evans, F. J. (1981)It is demonstrated how well-established graph theoretic results can be exploited in the analysis of large-scale systems, and directed towards questions of design such as controllability and stability. The generalized nature ...
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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, ...
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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)
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Article
Artificial neural network learning: A comparative review
Neocleous, Costas K.; Schizas, Christos N. (2002)Various neural learning procedures have been proposed by different researchers in order to adapt suitable controllable parameters of neural network architectures. These can be from simple Hebbian procedures to complicated ...
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Article
Artificial neural networks for modelling the starting-up of a solar steam-generator
Kalogirou, Soteris A.; Neocleous, Costas K.; Schizas, Christos N. (1998)An experimental solar steam generator, consisting of a parabolic trough collector, a high-pressure steam circuit, and a suitable flash vessel has been constructed and tested in order to establish the thermodynamic performance ...
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Conference Object
Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses
Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2010)A large number of different neural network structures have been constructed, trained and tested to a large data base of pregnant women characteristics, aiming at generating a classifier-predictor for the presence of ...
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Conference Object
Artificial neural networks in estimating marine propeller cavitation
Neocleous, Costas K.; Schizas, Christos N. (2002)Cavitation in marine propellers can be a serious problem that may result in severe deterioration in performance. This is particularly important in heavily loaded propellers, commonly encountered in small craft. Efforts ...
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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 ...
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Conference Object
Artificial neural networks in marine propeller design
Neocleous, Constantinos C.; Schizas, Christos N. (IEEE, 1995)Various neural network systems were developed for examining propeller performance data that were derived experimentally. This study is aiming to establish an accurate mapping thus facilitating propeller selection during ...
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Article
Artificial neural networks to investigate the importance and the sensitivity to various parameters used for the prediction of chromosomal abnormalities
Neocleous, Andreas C.; Nicolaides, Kypros H.; Syngelaki, A.; Neokleous, Kleanthis C.; Loizou, G.; Neocleous, Costas K.; Schizas, Christos N. (2012)A selection of artificial neural network models were built and implemented for systematically study the contribution and the sensitivity of the main influencing parameters as important contributing factors for the non-invasive ...
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Conference Object
Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities
Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N.; Neocleous, Andreas C. (2011)A systematic approach has been done, to investigate different neural network structures for the appraisal of the significance of the free b-human chorionic gonadotrophin (b-hCG) and the pregnancy associated plasma protein-A ...
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Conference Object
Automated segmentation of folk songs using artificial neural networks
Neocleous, Andreas C.; Petkov, N.; Schizas, Christos N. (INSTICC Press, 2014)Two different systems are introduced, that perform automated audio annotation and segmentation of Cypriot folk songs into meaningful musical information. The first system consists of three artificial neural networks (ANNs) ...
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Conference Object
A biologically inspired neural network composed of dissimilar single neuron models
Poirazi, Panayiota; Neocleous, Costas K.; Pattichis, Constantinos S.; Schizas, Christos N. (2001)A multilayer neural network has been developed that consists of slabs of single neuron models. Each slab is composed of a single type of neutrons, which differs between the slabs. The network was trained using a biologically ...
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Conference Object
Bispectral analysis of EMG at different levels of force
Pattichis, Constantinos S.; Constantinou, Renos; Spyrou, S.; Schizas, Christos N.; Middleton, Lefkos T. (Publ by IEEE, 1993)Bispectral analysis suggests that EMG is highly non-Gaussian at force level (FL) = 10% of maximum voluntary contraction
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Conference Object
A brief overview of m-health e-emergency systems
Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Panayides, Andreas S.; Mougiakakou, Stavroula Gr; Pitsillides, Andreas; Schizas, Christos N. (2008)Rapid advances in wireless communications and networking technologies, linked with advances in computing and medical technologies facilitate the development and offering of emerging mobile systems and services in the ...
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Article
Classification capacity of a modular neural network implementing neurally inspired architecture and training rules
Poirazi, Panayiota; Neocleous, Costas K.; Pattichis, Constantinos S.; Schizas, Christos N. (2004)A three-layer neural network (NN) with novel adaptive architecture has been developed. The hidden layer of the network consists of slabs of single neuron models, where neurons within a slab-but not between slabs- have the ...
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Conference Object
Classification performance of motor unit action potential features
Pattichis, Constantinos S.; Elia, Avraam; Schizas, Christos N.; Middleton, Lefkos T. (IEEE, 1994)The objective of this study is to examine the classification performance of the following motor unit action potential (MUAP) feature sets: i) time domain measures, ii) frequency measures, iii) autoregressive coefficients ...
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Article
Cognitive computing for supporting eHealth
Schizas, Christos N. (2017)
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Article
Cognitive modeling of dilution effects in visual search
Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2012)A biologically plausible neural network model of selective attention has been implemented to account for discrepant findings on the source of distractor interference in visual search tasks. The model successfully simulated ...
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Conference Object
Cognitive modeling of dilution effects in visual search
Neokleous,Kleanthis C.; Avraamides, Marios N.; Neokleous,Kleanthis C.; Schizas, Christos N. (2012)