57 Result(s)
within
Conference Paper
Marcin Wozniak
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Chapter and Conference Paper
Block Matching Based Obstacle Avoidance for Unmanned Aerial Vehicle
Unmanned aerial vehicles (UAVs) are becoming very popular now. They have a variety of applications: search and rescue missions, crop inspection, 3D map**, surveillance and military applications. However, man...
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Chapter and Conference Paper
Exploiting OSC Models by Using Neural Networks with an Innovative Pruning Algorithm
In this paper we have investigated the relationship between the current and the active layer thickness of an organic solar cell (OSC) in order to improve its efficiency by means of a back propagation neural ne...
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Chapter and Conference Paper
The Impact of the Cost Function on the Operation of the Intelligent Agent in 2D Games
A large part of the technology development depends on the needs of users. Apart from the hardware requirements for programs used by large companies or smaller groups, the wide applications and hardware load ar...
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Chapter and Conference Paper
Performance Evaluation of DBN Learning on Intel Multi- and Manycore Architectures
In our previous papers [12, 13], we proposed the parallel realization of the Deep Belief Network (DBN). This research confirmed the potential usefulness of the first generation of the Intel MIC architecture for i...
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Chapter and Conference Paper
Ontology Usage for Database Conversion in Practical Solution for Military Systems - Case Study
Nowadays IT systems are used for quick share lot of data. These data are collected in databases which are working in a special rules. These rules describe how data are stored the structure of database and how ...
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Chapter and Conference Paper
Sentiment Analysis of Lithuanian Texts Using Deep Learning Methods
We describe experiments in sentiment analysis of the Lithuanian texts using the deep learning methods: Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN). Methods used with pre-trained Lithua...
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Chapter and Conference Paper
Nonnegative Matrix Factorization Based Decomposition for Time Series Modelling
We propose a novel method of time series decomposition based on the non-negative factorization of the Hankel matrix of time series and apply this method for time series modelling and prediction. An interim (su...
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Chapter and Conference Paper
Combining SVD and Co-occurrence Matrix Information to Recognize Organic Solar Cells Defects with a Elliptical Basis Function Network Classifier
This paper presents a new methodology based on elliptical basis function (EBF) networks and an innovative feature extraction technique which makes use of the co-occurrence matrices and the SVD decomposition in...
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Chapter and Conference Paper
QoS Mechanism for Low Speed Radio Networks - Case Study
A quick access to information is very important nowadays. Many systems exchange their data via radio links. These radio links are characterized by low bitrates and high bit error rate. In such situation, stand...
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Chapter and Conference Paper
A Neural Network Pattern Recognition Approach to Automatic Rainfall Classification by Using Signal Strength in LTE/4G Networks
Accurate and real time rainfall levels estimations are very useful in various applications of hydraulic structure design, agriculture, weather forecasting, climate modeling, etc. An accurate measurement of rai...
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Chapter and Conference Paper
Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network
In this paper we present a new RBFNNs neural networks based model to relate the overall OLEDs electroluminescent density as a function of the voltage and current at different wavelengths. The polymer-based OLE...
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Chapter and Conference Paper
Extraction and Analysis of Voice Samples Based on Short Audio Files
Some voice defects may be removed from a recording in such a way that the remainder of the sample contains only the relevant data. However processing of input sounds to achieve this goal requires methodology ...
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Chapter and Conference Paper
Detection of Important Features from Images Using Heuristic Approach
Digital systems offer high quality images, for which information is encoded with precision. Pixels represent the features of objects, therefore we can use this information to detect purposes. In this article w...
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Chapter and Conference Paper
State Flip** Based Hyper-Heuristic for Hybridization of Nature Inspired Algorithms
The paper presents a novel hyper-heuristic strategy for hybridization of nature inspired algorithms. The strategy is based on switching the state of agents using a logistic probability function, which depends ...
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Chapter and Conference Paper
Analysis of Keystroke Dynamics for Fatigue Recognition
The paper analyses the problem of fatigue recognition using keystroke dynamics data. Keystroke dynamics provides the time data of key ty** events (press-press, press-release, release-press and release-relea...
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Chapter and Conference Paper
Introduction to the Model of the Active Assistance System for Elder and Disabled People
In this article we present assumptions for development of novel model of active system that can assist elder and disabled people. In the following sections we discuss literature and propose a structure of deci...
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Chapter and Conference Paper
Characterisation and Modeling of Organic Solar Cells by Using Radial Basis Neural Networks
Neural network architectures have been proven useful to model the intrinsic characteristics of photovoltaic cells. The possibility to get rid of an a priori model is one of the many advantages of such an appro...
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Chapter and Conference Paper
Preprocessing Large Data Sets by the Use of Quick Sort Algorithm
Sorting algorithms help to organize large amounts of data. However, sometimes it is not easy to determine the correct order in large data sets, especially if there are special poses on the input. It often comp...
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Chapter and Conference Paper
A Clustering Based System for Automated Oil Spill Detection by Satellite Remote Sensing
In this work a new software system and environment for detecting objects with specific features within an image is presented. The developed system has been applied to a set of satellite transmitted SAR images,...
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Chapter and Conference Paper
Self Organizing Maps for 3D Face Understanding
Landmarks are unique points that can be located on every face. Facial landmarks typically recognized by people are correlated with anthropomorphic points. Our purpose is to employ in 3D face recognition such l...
