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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Identification of indoor radio environment properties based on channel state information using machine learning approaches</dc:title><dc:creator>Kocevska,	Teodora	(Avtor)
	</dc:creator><dc:creator>Hrovat,	Andrej	(Mentor)
	</dc:creator><dc:creator>Rashkovska,	Aleksandra	(Komentor)
	</dc:creator><dc:creator>Švigelj,	Aleš	(Član komisije za zagovor)
	</dc:creator><dc:creator>Ženko,	Bernard	(Član komisije za zagovor)
	</dc:creator><dc:creator>Kocan,	Enis	(Član komisije za zagovor)
	</dc:creator><dc:subject>radio environment</dc:subject><dc:subject>wireless technologies</dc:subject><dc:subject>machine learning</dc:subject><dc:subject>channel state information</dc:subject><dc:subject>doctoral dissertations</dc:subject><dc:publisher>T. Kocevska</dc:publisher><dc:date>2023</dc:date><dc:date>2026-05-06 11:59:05</dc:date><dc:type>Doktorska disertacija</dc:type><dc:identifier>13772</dc:identifier><dc:identifier>UDK: 004.85:004.7(043.3)</dc:identifier><dc:identifier>COBISS_ID: 158586883</dc:identifier><dc:language>sl</dc:language></metadata>
