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Search results for: text representation documents categorization information retrieval

Search results for: text representation documents categorization information retrieval

  • Learning and memory processes in autonomous agents using an intelligent system of decision-making

    Publication

    This paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model...

  • Learning and memory processes in autonomous agents using an intelligent system of decision-making

    Publication

    This paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model...

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  • Validation of an Agent and Ontology-based Information Technology Assessment System

    The aim of this paper is to present a new method of the validation of an Agent and Ontology-based Information Technology Assessment System. In the introduction part of the paper, the characteristics of the proposed multi-agent system are presented. Next, some important details regarding the ontology functionality of this system are described and an approach to its verification process is proposed. The approach employs semantic...

  • Energy storage device based on flywheel, power converters and Simulink real-time

    Publication

    - Year 2017

    This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. Paper presents information on Energy Storage Device based on Flywheel and bi-directional IGBT Power Converters – designed for LINTE^2 laboratory owned by Gdansk University of Technology in Poland. Paper is divided into four sections. First section of the paper provides introductory information...

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  • Borders of Digital Art in the Context of the Information Society

    Publication

    The article shows the relationship between the development of information technologies, the characteristics of the information society and digital art. The broad possibilities of the digital world related to recording, storing and processing data (cyber text, big data, smart services) and the creation of virtual worlds are pointed out. The influence of the development of information technologies on the character of the works of...

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  • How Machine Learning Contributes to Solve Acoustical Problems

    Publication
    • M. A. Roch
    • P. Gerstoft
    • B. Kostek
    • Z. Michalopoulou

    - Journal of the Acoustical Society of America - Year 2021

    Machine learning is the process of learning functional relationships between measured signals (called percepts in the artificial intelligence literature) and some output of interest. In some cases, we wish to learn very specific relationships from signals such as identifying the language of a speaker (e.g. Zissman, 1996) which has direct applications such as in call center routing or performing a music information retrieval task...

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  • Listening to Live Music: Life beyond Music Recommendation Systems

    Publication

    - Year 2018

    This paper presents first a short review on music recommendation systems based on social collaborative filtering. A dictionary of terms related to music recommendation systems, such as music information retrieval (MIR), Query-by-Example (QBE), Query-by-Category (QBC), music content, music annotating, music tagging, bridging the semantic gap in music domain, etc. is introduced. Bases of music recommender systems are shortly presented,...

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  • NLP Questions Answering Using DBpedia and YAGO

    In this paper, we present results of employing DBpedia and YAGO as lexical databases for answering questions formulated in the natural language. The proposed solution has been evaluated for answering class 1 and class 2 questions (out of 5 classes defined by Moldovan for TREC conference). Our method uses dependency trees generated from the user query. The trees are browsed for paths leading from the root of the tree to the question...

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  • How do personality traits influence Open Government Data (OGD) adoption and usage? Investigating the indirect and moderating effects

    Publication
    • N. Rizun
    • C. H. Alexopoulos
    • S. Saxena
    • F. Kleiman
    • R. Matheus

    - Year 2023

    Open Government Data (OGD) research has focused for a long on the adoption and usage from the perspectives of users across different contexts. The underlying rationale for this specific focus is that OGD initiatives are undertaken to further citizen engagement with OGD for value generation and innovation purposes. Conceding that usage propensity is different across individuals, it is important to understand the influence of personality...

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  • On the Possibilities of Decreasing Power Loss in Large Tilting Pad Thrust Bearings

    Publication

    Journal Menu About this Journal Abstracting and Indexing Aims and Scope Article Processing Charges Articles in Press Author Guidelines Bibliographic Information Citations to this Journal Contact Information Editorial Board Editorial Workflow Free eTOC Alerts Publication Ethics Submit a Manuscript Table of Contents Abstract Full-Text PDF Full-Text HTML...

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  • Selecting Features with SVM

    Publication

    A common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support Vector Machines. The method is based on controlling an angle by which the decision hyperplane is tilt due to feature selection. Experiments were performed on three text datasets generated from a Wikipedia dump. Amount...

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  • MSIS sonar image segmentation method based on underwater viewshed analysis and high-density seabed model

    Publication

    - Year 2017

    High resolution images of Mechanically Scanned Imaging Sonars can bring detailed representation of underwater area if favorable conditions for acoustic signal to propagate are provided. However to properly asses underwater situation based solely on such data can be challenging for less than proficient interpreter. In this paper we propose a method to enhance interpretative potential of MSIS image by dividing it in to subareas depending...

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  • Multi-criterion decision making in distributed systems by quantum evolutionary algorithms

    Publication
    • J. Balicki
    • H. Balicka
    • J. Masiejczyk
    • A. Zacniewski

    - Year 2010

    Decision making by the AQMEA (Adaptive Quantum-based Multi-criterion Evolutionary Algorithm) has been considered for distributed computer systems. AQMEA has been extended by a chromosome representation with the registry of the smallest units of quantum information. Evolutionary computing with Q-bit chromosomes has been proofed to characterize by the enhanced population diversity than other representations, since individuals represent...

  • RSS-Based DoA Estimation Using ESPAR Antenna for V2X Applications in 802.11p Frequency Band

    Publication

    In this paper, we have proposed direction-of arrival (DoA) estimation of incoming signals for V2X applications in 802. 11p frequency band, based on recording of received signal strength (RSS) at electronically steerable parasitic array radiator (ESPAR) antenna's output port. The motivation of the work was to prove that ESPAR antenna used to increase connectivity and security in V2X communication can...

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  • Towards a Framework for Context Awareness Based on Textual Process Data

    Publication

    - Year 2023

    Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it be-comes essential to employ relevant text analytics techniques to increase the awareness of business process (BP) workers,...

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  • Reliability Analysis of Data Storage Using Survival Signature and Logic Differential Calculus

    Publication

    - Year 2023

    The Data storage system is an important part of any information system. All the necessary data that must be available for the successful operation of the information system are stored here. Therefore, it is advisable to think about the reliability of such a data storage system. As part of reliability engineering, it is possible to perform a reliability analysis of any system. Therefore, the data storage system can be analyzed as...

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  • Discovering Rule-Based Learning Systems for the Purpose of Music Analysis

    Publication

    Music analysis and processing aims at understanding information retrieved from music (Music Information Retrieval). For the purpose of music data mining, machine learning (ML) methods or statistical approach are employed. Their primary task is recognition of musical instrument sounds, music genre or emotion contained in music, identification of audio, assessment of audio content, etc. In terms of computational approach, music databases...

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  • Developing Methods for Building Intelligent Systems of Information Resources Processing Using an Ontological Approach

    Publication
    • V. Lytvyn
    • V. Vysotska
    • M. Bublyk
    • P. Grudowski
    • Y. Matseliukh
    • R. Nanivskyi

    - Advances in Intelligent Systems and Computing - Year 2021

    The problem of developing methods of information resource processing is investigated. A formal procedure description of processing text content is developed. A new ontological approach to the implementation of business processes is proposed. Consider that the aim of our work is to develop methods and tools for building intelligent systems of information resource processing, the core of knowledge bases of which are ontology’s, and...

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  • Bacterial nanocellulose as a microbiological derived nanomaterial

    Bacterial nanocellulose (BNC) is a nanofibrilar polymer produced by strains such as Gluconacetobacter xylinus, one of the best bacterial species which given the highest efficiency in cellulose production. Bacterial cellulose is a biomaterial having unique properties such as: chemical purity, good mechanical strength, high flexibility, high absorbency, possibility of forming any shape and size and many others. Such a large number...

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  • Multi-objective optimization of microwave couplers using corrected domain patching

    Publication

    Practical design of microwave components and circuits is a compromise between various, often conflicting objectives. In case of compact structures, the trade-offs are typically concerned with the circuit size and its electrical performance. Comprehensive information about the best possible trade-offs can be obtained by means of multi-objective optimization. In this paper, we propose a computationally efficient technique for identifying...

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  • Embedded device for indoor positioning of mobile terminals in ISM 2.4 GHz frequency band integrated with ESPAR antenna

    Publication
    • T. Dryjański

    - Year 2018

    In the era of multifunctional mobile phones, wireless positioning is one of the most important branches of telecommunications development. This functionality is possible thanks to global positioning systems such as GPS, whose services are available to every average user. Global systems, however, suffer from their low accuracy in confined environments such as forests and building interiors. A popular...

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  • Sound engineering as our commitment to its creators in Poland

    Publication

    Sound engineering is an interdisciplinary and rapidly expanding domain. It covers many aspects, such as sound perception, studio and sound mastering technology, music information retrieval including content-based search systems and automatic music transcription frameworks, sound synthesis, sound restoration, electroacoustics, and other ones constituting multimedia technology. Moreover, machine learning methods applied to the topics...

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  • Image Representation for Cognitive Systems Using SOEKS and DDNA: A Case Study for PPE Compliance

    Publication

    - Year 2020

    Cognitive Vision Systems have gained significant interest from academia and industry during the past few decade, and one of the main reasons behind this is the potential of such technologies to revolutionize human life as they intend to work under complex visual scenes, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities...

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  • PROBLEMY WYKONYWANIA AUDYTÓW ENERGETYCZNYCH W OBIEKTACH PRZEMYSŁOWYCH

    Publication

    W artykule zestawiono informacje obejmujące ramy prawne wykonania audytów energetycznych w zakładach przemysłowych. Opisano główne założenia dokumentów formalnych, a także zinterpretowano kluczowe fragmenty. Odniesiono zapisy prawa do rzeczywistych możliwości ich zastosowania. Zamiarem autorów było, aby zamieszczone uwagi wskazywały najważniejsze problemy wykonywania audytów przemysłowych, z którymi spotyka się audytor. Dotyczy...

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  • Toward Human Chromosome Knowledge Engine

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2024

    Human chromosomes carry genetic information about our life. Chromosome classification is crucial for karyotype analysis. Existing chromosome classification methods do not take into account reasoning, such as: analyzing the relationship between variables, modeling uncertainty, and performing causal reasoning. In this paper, we introduce a knowledge engine for reasoning-based human chromosome classification that stores knowledge...

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  • Experience-Oriented Intelligence for Internet of Things

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2017

    The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. The main reason behind this interest is the capabilities of the IoT for seamlessly integrating classical networks and networked objects, and hence allows people to create an intelligent environment based on this powerful integration. However, how to extract useful information from data produced by IoT and facilitate...

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  • Improved RSS-Based DoA Estimation Accuracy in Low-Profile ESPAR Antenna Using SVM Approach

    In this paper, we have shown how the overall performance of direction-of-arrival (DoA) estimation using lowprofile electronically steerable parasitic array radiator (ESPAR) antenna, which has been proposed for Internet of Things (IoT) applications, can significantly be improved when support vector machine (SVM) approach is applied. Because the SVM-based DoA estimation method used herein relies solely...

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  • Investigation of Continuous Wave Jamming in an IEEE 802.15.4 Network

    Publication

    This paper presents how continuous wave jamming affects IEEE 802.15.4 network. To this end, an office-based measurement setup has been proposed. Within the measurement area, 25 nodes have been set up in order to create a IEEE 802.15.4 tree-based test network structure. A dedicated jamming device that generates and transmits a continuous wave signal has been developed. Several tests have been conducted and presented to demonstrate...

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  • The Indication Methods and Techniques of Urban Light Pollution

    Publication

    - Year 2021

    The goal of this study is to review and categorize approaches and methods of facing urban light pollution. Probing various references and documents, the current practice focus on extracting and reviewing different types of urban light pollution detection, survey, and measurement to define a taxonomy of methods by instant comparison. The means of measurement and detecting this pollution include 14 most cited techniques that have...

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  • Sound quality metrics applied to road noise evaluation

    Road noise monitoring systems typically measure sound levels in specific time periods. The more insightful approach suggests to measure also the nature of noise. Sound quality of sounds such as car noise can be objectively evaluated by several parameters. One of them is psychoacoustic annoyance, described by loudness, tone color, and the temporal structure of sound. In this paper the assessment of several sound quality parameters, such...

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  • Improving Re-rankCCP with Rules Quality Measures

    Publication

    - Year 2022

    Recommender Systems are software tools and techniques which aim at suggesting new items that may possibly be of interest to a user. Context-Aware Recommender Systems exploit contextual information to provide more adequate recommendations. In this paper we described a modification of an existing contextual post-filtering algorithm which uses rules-like user representation called Contextual Conditional Preferences. We extended the...

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  • Influence of Thermal Imagery Resolution on Accuracy of Deep Learning based Face Recognition

    Publication

    Human-system interactions frequently require a retrieval of the key context information about the user and the environment. Image processing techniques have been widely applied in this area, providing details about recognized objects, people and actions. Considering remote diagnostics solutions, e.g. non-contact vital signs estimation and smart home monitoring systems that utilize person’s identity, security is a very important factor....

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  • Graph Representation Integrating Signals for Emotion Recognition and Analysis

    Data reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images. Moreover, conducting experiments with a vast number of participants to build datasets for Affective Computing research is time-consuming and expensive. Therefore, it is extremely important to...

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  • A system for Direction-Of-Arrival estimation in ISM 2.4 GHz frequency band based on ESPAR antenna and SDR technology

    Publication
    • P. Kwapisiewicz

    - Year 2018

    Determination of the direction of the signal arrival (DOA) finds many applications in various areas of science and industry. Knowledge of DOA is used, among others to determine the position of a satellite with a low Earth orbit (LEO), localization of people and things as well as in research of wireless communication systems, for instance the determination of the number of...

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  • Blockchain based Secure Data Exchange between Cloud Networks and Smart Hand-held Devices for use in Smart Cities

    Publication

    - Year 2022

    In relation to smart city planning and management, processing huge amounts of generated data and execution of non-lightweight cryptographic algorithms on resource constraint devices at disposal, is the primary focus of researchers today. To enable secure exchange of data between cloud networks and mobile devices, in particular smart hand held devices, this paper presents Blockchain based approach that disperses a public/free key...

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  • From Individual to Collective: Intelligence Amplification with Bio-Inspired Decisional DNA and its Extensions

    Publication

    - Year 2022

    In nature, deoxyribonucleic acid (DNA) contains the genetic instructions used in the development and functioning of all known living organisms. The idea behind our vision is to develop an artificial system, an architecture that would support discovering, adding, storing, improving and sharing information and knowledge among agents and organizations through experience. We propose a novel Knowledge Representation (KR) approach in...

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  • Smart Decisional DNA Technology to Enhance Industry 4.0 Environment in Conjunction with Conventional Manufacturing

    Publication

    - Year 2020

    Knowledge-based support has become an indispensable part not only to the traditional manufacturing set-ups but also to the new fast-emerging Industry 4.0 scenario. In this regard, successful research has been performed and extensively reported to develop Decisional DNA based knowledge representation models of engineering object and engineering process called Virtual engineering object (VEO), Virtual engineering process (VEP) and...

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  • DoA Estimation Using Reconfigurable Antennas in Millimiter-Wave Frequency 5G Systems

    To achieve low latency and high throughputs, future 5G systems will have to utilize complex antenna systems able to provide beamforming and direction-of-arrival (DoA) estimation capabilities. Most of the concepts available in the literature rely on analog or digital beamforming, which is well developed and can be used both at a base station and in a user terminal. However, in applications, in which...

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  • Designing Intelligent Factory: Conceptual Framework and Empirical Validation

    Publication

    - Procedia Computer Science - Year 2016

    This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time...

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  • Validation of a virtual test environment for C2X communication under radio jamming conditions

    Publication

    - Year 2020

    In this paper, we propose a novel car-2-x communication security testing methodology in the physical layer of wireless systems. The approach is dedicated to automated testing of autonomous vehicles and it is essential for such complex systems operation, especially with regard to safety and security issues. It is based on scenario-driven testing in virtual and real test environments created from collected or simulated data. The...

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  • A collection of directed graphs for the minimum cycle mean weight computation

    Open Research Data
    open access

    This dataset contains definitions of the 16 directed graphs with weighted edges that were described in the following paper: Paweł Pilarczyk, A space-efficient algorithm for computing the minimum cycle mean in a directed graph, Journal of Mathematics and Computer Science, 20 (2020), no. 4, 349--355, DOI: 10.22436/jmcs.020.04.08, URL: http://dx.doi.org/10.22436/jmcs.020.04.08   These...

  • Początek Gdyńskiego Systemu Wodociągowego Wodociąg wiejski w gminie Oksywie w latach 1911 – 1929. Część I.

    Publication

    Przedmiotem badań był wodociąg wiejski na Oksywiu z początku XX wieku, jako najstarszy na ziemiach polskich pod zaborami. Po przeprowadzeniu żmudnej kwerendy odtworzono przebieg procesu decyzyjnego jego budowy i eksploatacji. Szczególnie ważkie informacje odkryto w protokołach z posiedzeń Rady Gminnej Oksywia napisanych w języku staroniemieckim w latach 1911 – 1920. W rezultacie ustalono parametry techniczne sieci i urządzeń wodociągowych...

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  • Compact global association based adaptive routing framework for personnel behavior understanding

    Publication

    Personnel behavior understanding under complex scenarios is a challenging task for computer vision. This paper proposes a novel Compact model, which we refer to as CGARPN that incorporates with Global Association relevance and Adaptive Routing Pose estimation Network. Our framework firstly introduces CGAN backbone to facilitate the feature representation by compressing the kernel parameter space compared with typical algorithms,...

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  • Automatic detection and correction of detuned singing system for use with query-by-humming applications

    Publication

    The aim of the paper is to present an idea of using the automatic detection and correction of detuned singing as a subsystem in query-by-humming (QBH) applications. The common approach to searching for a requested song basing on the melody retrieved from hummed pattern usually employs the so-called Parsons code or melody contour. In such a case information about sound pitch is discarded. It was thought out that an additional module...

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  • Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing

    Publication

    - Business Process Management Journal - Year 2021

    Purpose This study aims to draw the attention of business process management (BPM) research and practice to the textual data generated in the processes and the potential of meaningful insights extraction. The authors apply standard natural language processing (NLP) approaches to gain valuable knowledge in the form of business process (BP) complexity concept suggested in the study. It is built on the objective, subjective and meta-knowledge...

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  • Decisional-DNA Based Smart Production Performance Analysis Model

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    n order to allocate resources effectively according to the production plan and to reduce disturbances, a framework for smart production performance analysis is proposed in this article. Decisional DNA based knowledge models of engineering objects, processes and factory are developed within the proposed framework. These models are the virtual representation of manufacturing resources, and with help of Internet of Things, are capable...

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  • Embodying Intelligence in Autonomous and Robotic Systems with the Use of Cognitive Psychology and Motivation Theories

    Publication

    The article discusses, on a certain level of abstraction and generalization, a coherent anthropological approach to the issue of controlling autonomous robots or agents. A contemporary idea can be based on appropriate modeling of the human mind using the available psychological knowledge. One of the main reasons for developing such projects is the lack of available and effective top-down approaches resulting from the known research...

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  • Embodying Intelligence in Autonomous Systems with the Use of Cognitive Psychology and Motivation Theories

    Publication

    The article discusses, on a certain level of abstraction and generalization, a coherent anthropological approach to the issue of controlling autonomous robots or agents. A contemporary idea can be based on appropriate modeling of the human mind using the available psychological knowledge. One of the main reasons for developing such projects is the lack of available and effective top-down approaches resulting from the known research...

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  • Increasing K-Means Clustering Algorithm Effectivity for Using in Source Code Plagiarism Detection

    Publication
    • P. Hrkút
    • M. Ďuračík
    • M. Mikušová
    • M. Callejas-cuervo
    • J. Żukowska

    - Year 2019

    The problem of plagiarism is becoming increasingly more significant with the growth of Internet technologies and the availability of information resources. Many tools have been successfully developed to detect plagiarisms in textual documents, but the situation is more complicated in the field of plagiarism of source codes, where the problem is equally serious. At present, there are no complex tools available to detect plagiarism...

  • Informacje o przedmiotach i specjalnościach do wyboru // Information about elective subjects and specialties

    e-Learning Courses
    • E. Mazurek-Krasodomska
    • K. Flisikowski

    Informacje o przedmiotach/specjalnościach do wyboru 2023/2024 - semestr letni 2023/2024 Information about elective subjects/specialties - summer semester 2023/2024