| Title: | Uporaba analize slik isker in umetne inteligence za napovedovanje vsebnosti ogljika v jeklih : magistrsko delo |
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| Authors: | ID Knupleš, Rok (Author)
ID Župerl, Uroš (Mentor) More about this mentor... 
ID Hace, Aleš (Mentor) More about this mentor...
ID Munđar, Goran (Comentor) |
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| Files: |  MAG_Knuples_Rok_2026.pdf (4,24 MB)
MD5: CA2F4FB69BB1BDB2CF04230AE668A48A
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| Language: | Slovenian |
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| Work type: | Master's thesis/paper |
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| Typology: | 2.09 - Master's Thesis |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | V magistrskem delu obravnavamo uporabo slikovne analize isker in metod umetne inteligence za napovedovanje vsebnosti ogljika v jeklih. Na podlagi značilnosti isker, kot so barva, oblika in tekstura, razvijemo napovedne modele z algoritmi strojnega učenja. Za napovedovanje ogljika v jeklih uporabimo tudi konvolucijske nevronske mreže. Rezultati kažejo, da je mogoče z visoko natančnostjo oceniti vsebnost ogljika, kar omogoča hitrejšo in cenejšo analizo v primerjavi s klasičnimi laboratorijskimi metodami. |
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| Keywords: | analiza isker, umetna inteligenca, lastnosti jekel, brušenje, napovedni modeli |
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| Place of publishing: | Maribor |
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| Place of performance: | Maribor |
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| Publisher: | [R. Knupleš] |
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| Year of publishing: | 2026 |
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| Number of pages: | 1 spletni vir (1 datoteka PDF (XII, 70 f.)) |
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| PID: | 20.500.12556/DKUM-97741 |
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| UDC: | 004.8/.9:[546.26.062:669.14](043.2) |
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| COBISS.SI-ID: | 280633603 |
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| Publication date in DKUM: | 02.06.2026 |
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| Views: | 179 |
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| Downloads: | 25 |
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| Metadata: |    |
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| Categories: | KTFMB - FS
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