@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

obo:BFO_0000031  a  owl:Class ;
        rdfs:label  "Bedingter Kontinuant"@de-DE , "Generically Dependent Continuant"@en-US , "Generically Dependent Continuant"@en .

<https://fis.th-koeln.de/vivo/individual/FF_001>
        <http://cris.nrw/hisinone/istForschungsfeldvon>
                <https://fis.th-koeln.de/vivo/individual/publ_13326> .

<https://fis.th-koeln.de/vivo/individual/cite_13326-0>
        a       thkoeln:Zitat , owl:Thing .

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        rdfs:label  "Kontinuant"@de-DE , "Continuant"@en-US , "Continuant"@en .

<http://cris.nrw/date2023>
        a       obo:BFO_0000003 , obo:BFO_0000008 , obo:BFO_0000001 , vivo:DateTimeValue , obo:BFO_0000148 , owl:Thing .

<https://fis.th-koeln.de/vivo/individual/publ_13326>
        a                       bibo:Document , obo:BFO_0000002 , owl:Thing , thkoeln:Konferenzpaper , thkoeln:Publikation , obo:IAO_0000030 , foaf:Document , obo:BFO_0000001 , obo:BFO_0000031 ;
        rdfs:label              "Novel Approach for Imaging Time Series for the Improvement of Classification Results “Grayscale Fingerprint Features Field Imaging (G3FI)" , "RDF description of Novel Approach for Imaging Time Series for the Improvement of Classification Results “Grayscale Fingerprint Features Field Imaging (G3FI) - https://fis.th-koeln.de/vivo/individual/publ_13326" ;
        thkoeln:URL             "https://iwshm2023.stanford.edu/proceedings" ;
        thkoeln:sprache         "englisch" ;
        thkoeln:status          "validiert" ;
        <http://cris.nrw/hisinone/hatForschungsfeld>
                <https://fis.th-koeln.de/vivo/individual/FF_001> ;
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                <https://fis.th-koeln.de/vivo/individual/10000146> ;
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                <https://fis.th-koeln.de/vivo/individual/publ_4> ;
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                <http://cris.nrw/hisinone/RessourceText> ;
        <http://cris.nrw/hisinone/hatZitat>
                <https://fis.th-koeln.de/vivo/individual/cite_13326-0> , <https://fis.th-koeln.de/vivo/individual/cite_13326-1> , <https://fis.th-koeln.de/vivo/individual/cite_13326-2> ;
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        <http://purl.org/dc/elements/1.1/publisher>
                <https://fis.th-koeln.de/vivo> ;
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        bibo:abstract           "The remarkable successes achieved by Deep Learning (DL) in computer vision   drew the attention of researchers to exploit this capability to apply it for the   processing of time series and multivariate data. Thus, researcher began the   development of suitable methods to transform time series signals into, images to   enable the use of DL techniques to improve the classification of time series data.   The most state-of-art techniques are Recurrence Plot (RP), Gramian Angular Field   (GAF), or Markov Transition Field (MTF). These techniques transform each time   series into RGB image. In this paper, a new transformation technique of time series   and multivariate data to images technique is proposed. This technique is called   <Grayscale Fingerprint Features Field Imaging\" (G3FI). The main differences   between this technique and state-of-art techniques are: a) the resulted image is a   grayscale; b) the size of the resulted image is much smaller than the size of resulted   images using state-of-art techniques. These differences provide the proposed   technique with several advantages over the prior art, as it (a) results in avoiding   redundant information and (b) noise, and (c) leads to a significant reduction in the   required computational power. For the proof of concept, a dataset \"Sonar, Mines vs.   Rocks\" is investigated and individually transformed using RP, GAF, and MTF, and   the new developed technique \"G3FI\". The resulted images from each transformer   are individually used to train and test Convolutional Neural Networks (CNN). The   proposed method leads to competitive results in comparison to RP, GAF, and MTF." ;
        bibo:isbn13             "9781605956930" , "#defaultkonferenzband" ;
        bibo:pageEnd            "1376" ;
        bibo:pageStart          "1369" ;
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        rdfs:label  "Dokument"@de-DE , "Document"@en-US , "Document"@en .

thkoeln:Konferenzpaper
        a           owl:Class ;
        rdfs:label  "Conference Paper"@en-US , "Konferenzpaper"@de-DE .

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        a             obo:BFO_0000001 , obo:BFO_0000020 , vivo:Authorship , vivo:Relationship , obo:BFO_0000002 , owl:Thing ;
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        rdfs:label  "Entität für Informationsinhalt"@de-DE , "Information Content Entity"@en-US , "Information Content Entity"@en .

<https://fis.th-koeln.de/vivo/individual/10000146>
        a           thkoeln:Organisationseinheit , foaf:Agent , obo:BFO_0000001 , obo:BFO_0000004 , obo:BFO_0000002 , foaf:Organization , owl:Thing ;
        rdfs:label  "Institut für Produktentwicklung und Konstruktionstechnik" ;
        <http://cris.nrw/hisinone/istOrganisationseinheitVon>
                <https://fis.th-koeln.de/vivo/individual/publ_13326> .

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                <https://fis.th-koeln.de/vivo/individual/publ_13326> .

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        a       thkoeln:Zitat , owl:Thing .

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        rdfs:label  "Publikationen"@de-DE , "Publications"@en-US .

<https://fis.th-koeln.de/vivo/individual/cite_13326-1>
        a       thkoeln:Zitat , owl:Thing .
