Browsing by Keywords "νευρωνικό δίκτυο"
Now showing items 1-18 of 18
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Machine learning algorithms for efficient management of electric power systems.
T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
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Publication Date: 25-11-2013The purpose of this paper is the demonstration of machine learning algorithms on efficient management of power systems. This model achieves immediate evaluation of safety and supply to the network, combining modern ... -
Gene expression analysis using deep learning.
Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
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Publication Date: 2021-05-11The present work outlines the basic aspects of artificial intelligence in the field of bioinformatics and in particular the use of neural networks for the analysis of gene expressions. In the first stage, introductory ... -
Signal-modal temporal seqence labeling using ESN classifier.
T.E.I. of Crete, School of Engineering (STEF), IPPS Advanced Manufacturing Systems, Automation and Robotics
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Publication Date: 2016-09-27Gesture recognition is one of the most significant issues of human-machine interconnection via mathematical algorithms. Gestures can originate from body or face motion and most of the time are recorded by a camera. Extracted ... -
Object recognition using depth maps and machine learning technologies.
T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
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Publication Date: 14-04-2011This paper presents a novel system that is fusing efficient and state-of-the-art techniques of stereo vision and machine learning, aiming at object detection and recognition. To this goal, the system initially creates depth ... -
Τumor recognition.
T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
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Publication Date: 2019-02-15The presented project, engages the topic of computer assisted detection and categorization of cancerous masses in mammograms. Starting on the cited papers, the cutting-edge techniques and technologies are mentioned and ... -
Emotion recognition from facial expressions.
T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
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Publication Date: 2017-03-23Psychologist Paul Ekman, after extensive research on the facial expressions made in different populations around the world, concluded that six basic emotions are universal, meaning that they are understood and globally ... -
Automatic genre classification of cretan music using machine learning methods.
T.E.I. of Crete, School of Applied Sciences, Department of Music Technology and Acoustics Engineering (in Rethymno)
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Publication Date: 27-06-2013In this thesis we cope with the task of automatic genre classification of Cretan traditional music. After identifying through literature the genres composing Cretan music, an annotated audio database was constructed. In a ... -
Methods of antenna analysis, design and simulation.
T.E.I. of Crete, School of Applied Sciences, Department of Electronic Engineering
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Publication Date: 29-10-2012In the present thesis we present the subjects bellow: antenna modelling using integral equations and the method of moments (MoM). The finite-difference time-domain (FDTD) method applied to antennas. The finite-element ... -
Methodology of forward-backward and Hopfield neural networks.
T.E.I. of Crete, School of Applied Sciences, Department of Electronic Engineering
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Publication Date: 01-06-2010This final year project thesis describes energy state neural networks as well as the forward – backward module: a simple building block that allows the evolution of neural networks with intrinsic supervised learning ability. ... -
Methodology and operation of forward backward neural networks.
T.E.I. of Crete, School of Applied Sciences, Department of Electronic Engineering
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Publication Date: 04-02-2011The field of artificial neural networks is developing rapidly over the past 25 years and is now a broad area related to the context of artificial intelligence and intelligent systems. Artificial neural networks effectively ... -
Fuzzy-neural method for modelling and control.
T.E.I. of Crete, School of Applied Sciences, Department of Electronic Engineering
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Publication Date: 05-07-2012During the decade, there has been an immense growth as far as neural networks, fuzzy logic and genetic algorithms are concerned. They all have a number of pros and cons, compared to each other. Fuzzy logic is a commonly ... -
Fuzzy neural method for modeling and control.
T.E.I. of Crete, School of Applied Sciences, Department of Electronic Engineering
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Publication Date: 29-01-2013The present study investigates a number of random neural techniques and their applications in modeling and control processes. -
Study of timeseries and modeling for predicting hourly values, using neural networks' techniques.
T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
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Publication Date: 28-05-2008 -
Design, simulation and implementation in the MC model neural network for control of electrical machines.
T.E.I. of Crete, School of Engineering (STEF), Department of Electrical Engineering
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Publication Date: 29-02-2008 -
Stocks prediction by using neural networks.
T.E.I. of Crete, School of Management and Economics (SDO), Department of Finance and Insurance (Agios Nikolaos)
T.E.I. of Crete, School of Management and Economics (SDO), Department of Accounting and Finance
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Publication Date: 17-08-2012 -
Adaptive measuring models.
T.E.I. of Crete, School of Applied Sciences, Department of Electronic Engineering
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Publication Date: 25-09-2014Modelling of magnetic field time series and recognition of them from external noise and other noise types with adaptive stochastic models. -
Design of a wireless communications receiver using artificial neural networks,
T.E.I. of Crete, School of Engineering (STEF), Telecommunications and Systems Networks EUP
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Publication Date: 04-04-2008The purpose of this dissertation is the design of a wireless communications receiver using Artificial Neural Networks. The implementation of this novel approach is carried out in three functional steps, at which digital ... -
Support system for determining sex based on bones' metrological data.
T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
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Publication Date: 08-11-2011In this thesis we are asked to create a program that will define the sex of unidentified persons. Measurements were done with the help of a caliper in two different kinds of bones, scapula and clavicle, by the group of ...