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HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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publishDateSort 2026
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spellingShingle HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
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 HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
title_auth HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
title_full HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
title_fullStr HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
title_full_unstemmed HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
title_short HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments
title_sort hfdnn: a hybrid fusion deep neural network for robust automatic modulation classification in adverse wireless environments
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11363142