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Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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discipline_display Engineering & Technology
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publishDate 2026
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spellingShingle Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
title_auth Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
title_full Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
title_fullStr Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
title_full_unstemmed Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
title_short Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications
title_sort exhaustive structure learning of r-vine copula models for analyzing multiband spectrum utilization in mobile communications
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11417812