| Title: | Identification of indoor radio environment properties based on channel state information using machine learning approaches : doctoral dissertation |
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| Authors: | ID Kocevska, Teodora (Author)
ID Hrovat, Andrej (Mentor) More about this mentor... 
ID Rashkovska, Aleksandra (Comentor)
ID Švigelj, Aleš (Member of the commission for defense)
ID Ženko, Bernard (Member of the commission for defense)
ID Kocan, Enis (Member of the commission for defense) |
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| Files: |  DR_Kocevska_Teodora_2023.pdf (13,05 MB)
MD5: D1870D62CE2093940E94C61BF2D3E6D7
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| Language: | English |
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| Work type: | Dissertation |
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| Typology: | 2.08 - Doctoral Dissertation |
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| Organization: | MPŠ - Jožef Stefan International Postgraduate School
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| Keywords: | radio environment, wireless technologies, machine learning, channel state information, doctoral dissertations |
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| Place of publishing: | Ljubljana |
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| Place of performance: | Ljubljana |
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| Publisher: | T. Kocevska |
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| Year of publishing: | 2023 |
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| Year of performance: | 2023 |
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| Number of pages: | XXIV, 121 str. |
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| COBISS.SI-ID: | 158586883 |
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| UDC: | 004.85:004.7(043.3) |
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| Note: | Besedilo v angl.;
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| Publication date in ReVIS: | 06.05.2026 |
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| Views: | 12 |
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| Downloads: | 0 |
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