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  1. No Access

    Chapter and Conference Paper

    Application of Rough Sets in k Nearest Neighbours Algorithm for Classification of Incomplete Samples

    Algorithm k-nn is often used for classification, but distance measures used in this algorithm are usually designed to work with real and known data. In real application the input values are imperfect—imprecise, u...

    Robert K. Nowicki, Bartosz A. Nowak in Knowledge, Information and Creativity Supp… (2016)

  2. No Access

    Chapter and Conference Paper

    An Application of Firefly Algorithm to Position Traffic in NoSQL Database Systems

    In this paper, an application of Computational Intelligence methods in positioning and optimization of traffic in NoSQL database system modeled with exponentially distributed service and vacation is discussed....

    Marcin Woźniak, Marcin Gabryel in Knowledge, Information and Creativity Supp… (2016)

  3. 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...

    Tatjana Sidekerskienė, Marcin Woźniak in Computer Information Systems and Industria… (2017)

  4. No Access

    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...

    Grazia Lo Sciuto, Giacomo Capizzi in Artificial Intelligence and Soft Computing (2017)

  5. No Access

    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...

    Robert Palka, Wojciech Makowski in Image Processing and Communications Challe… (2017)

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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...

    Francesco Beritelli, Giacomo Capizzi, Grazia Lo Sciuto, Francesco Scaglione in Rough Sets (2017)

  7. No Access

    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...

    Shiran Nabha Barnea, Grazia Lo Sciuto in Artificial Intelligence and Soft Computing (2017)

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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 ...

    Dawid Połap, Marcin Woźniak in Information and Software Technologies (2017)

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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...

    Dawid Połap, Marcin Woźniak in Information and Software Technologies (2017)

  10. No Access

    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 ...

    Robertas Damaševičius, Marcin Woźniak in Artificial Intelligence and Soft Computing (2017)

  11. No Access

    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...

    Mindaugas Ulinskas, Marcin Woźniak in Computational Science and Its Applications… (2017)

  12. No Access

    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...

    Adomas Ivanovas, Armantas Ostreika in Artificial Intelligence and Soft Computing (2018)

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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...

    Grazia Lo Sciuto, Giacomo Capizzi in Artificial Intelligence and Soft Computing (2018)

  14. No Access

    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...

    Dawid Połap, Marcin Woźniak in Information and Software Technologies (2018)

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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...

    Tomasz Olas, Wojciech K. Mleczko in Parallel Processing and Applied Mathematics (2018)

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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 ...

    Marcin Woźniak, Michał Terlecki in Uncertainty and Imprecision in Decision Ma… (2018)

  17. No Access

    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...

    Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius in Information and Software Technologies (2018)

  18. No Access

    Chapter and Conference Paper

    Authorship Identification Using Random Projections

    The paper describes the results of experiments in applying the Random Projection (RP) method for authorship identification of online texts. We propose using RP for feature dimensionality reduction to low-dimen...

    Robertas Damaševičius in Artificial Intelligence and Algorithms in … (2019)

  19. No Access

    Chapter and Conference Paper

    Iterative Design and Implementation of Rapid Gradient Descent Method

    Solvers of nonlinear systems of equations are important in software engineering. There are various methods which use gradient approach to find the solution in accordance to gradient descent. This paper presen...

    Wei Wei, Bin Zhou, Rytis Maskeliūnas in Artificial Intelligence and Soft Computing (2019)

  20. No Access

    Chapter and Conference Paper

    Gamification of Eye Exercises for Evaluating Eye Fatigue

    Extensive use of computer and mobile devices places large burden on our eyes. To tackle the symptoms of digital eye strain and improve eyesight, the use of eye exercises are suggested. However, few people do e...

    Mindaugas Vasiljevas, Robertas Damaševičius in Artificial Intelligence and Soft Computing (2019)

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