Τμήμα Πληροφορικής / Department of Computer Science: Recent submissions
Now showing items 841-860 of 1952
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Conference Object
Modeling socio-politico-economic systems with time-dependent fuzzy cognitive maps
(2012)Most of the formalisms of fuzzy cognitive maps (FCM) that had been proposed and applied in the past are relatively simple in the sense that they handle the various interacting and time-varying concepts as zeroth-order ...
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Conference Object
Neural Networks in Comparing USN and Wageningen B-Series Marine Propellers
(2003)The USN-series of experimental data on marine propeller performance (Denny et al, 1989) were compared with fitted Wageningen B-Series data. A Kohonen network has been used to attempt finding non-obvious similarities between ...
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Conference Object
Study on the effects of environmental factors for the forecasting of electric power load
(IEEE, 2000)A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in a Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...
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Conference Object
Artificial neural networks in marine propeller design
(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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Conference Object
Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities
(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
(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
Marine propeller design using artificial neural networks
(IEEE, 1999)The proper selection of marine propellers is in general an involved and time-consuming design task. It is mostly based on searching large mounts of experimental data in order to find a proper matching of performance ...
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Article
Ethnicity as a factor for the estimation of the risk for preeclampsia: A neural network approach
(2010)A large number of feedforward neural structures, both standard multilayer and multi-slab schemes have been applied to a large data base of pregnant women, aiming at generating a predictor for the risk of preeclampsia ...
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Conference Object
Neural networks to estimate the risk for preeclampsia occurrence
(2009)A number of neural network schemes have been applied to a large data base of pregnant women, aiming at generating a predictor for the estimation of the risk of occurrence of preeclampsia at an early stage. The database was ...
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Conference Object
Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses
(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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Article
Filter-based approach for ornamentation detection and recognition in singing folk music
(2015)Ornamentations in music play a significant role for the emotion whi1ch a performer or a composer aims to create. The automated identification of ornamentations enhances the understanding of music, which can be used as a ...
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Article
Ignoring irrelevant facts and operators in plan generation
(1997)It is traditional wisdom that one should start from the goals when generating a plan in order to focus the plan generation process on potentially relevant actions. The graphplan system, however, which is the most efficient ...
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Conference Object
Measurement of motion of carotid bifurcation plaques
(2012)Video loops of B-mode ultrasound images of 35 carotid bifurcation plaques were obtained (4 symptomatic and 31 asymptomatic) from patients with carotid bifurcation atherosclerosis. Video loops were classified visually as ...
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Conference Object
First trimester diagnosis of trisomy-21 using artificial neural networks
(2010)Langdon Down in 1866 reported on a syndrome in which individuals have skin appearing to be too large for the body, a nose small and a flat face. This is a chromosomal disorder caused by the presence of all or part of an ...
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Conference Object
Prenatal diagnosis of aneuploidy using artificial neural networks in relation to health economics
(Springer Verlag, 2016)The early detection of fetal chromosomal abnormalities such as aneuploidies, has been an important subject in medicine over the last thirty years. A pregnant woman is advised by the doctor to perform an amniocentesis test, ...
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Article
First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach
(2016)The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for ...
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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
(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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Article
Speed adaptive probabilistic flooding for vehicular ad hoc networksAAA
(2015)A significant issue in vehicular ad hoc networks (VANETs) is the design of an effective broadcast scheme that can facilitate the fast and reliable dissemination of emergency warning messages in the vicinity of an unexpected ...
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Conference Object
Speed adaptive probabilistic flooding for vehicular ad-hoc networksAAA
(2011)A significant issue in vehicular ad hoc networks is the design of an effective broadcast scheme which can facilitate the fast and reliable dissemination of emergency warning messages in the vicinity of an expected event, ...
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Article
Speed adaptive probabilistic flooding for vehicular ad hoc networks
(2015)A significant issue in vehicular ad hoc networks (VANETs) is the design of an effective broadcast scheme that can facilitate the fast and reliable dissemination of emergency warning messages in the vicinity of an unexpected ...