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Deep Convolutional Neural Networks (DCNN) is a class of artificial neural network with multiple layers between the input and output layers, most commonly applied to analyzing visual imagery.
Radio Frequency Machine Learning (RFML) aims to apply machine learning and deep learning for a multitude of tasks in wireless communications, such as signal classification, spectrum sensing and signal identification and cognitive radio.
Deep Convolutional Neural Networks (DCNN) is a class of artificial neural network with multiple layers between the input and output layers, most commonly applied to analyzing visual imagery.
Radio Frequency Machine Learning (RFML) aims to apply machine learning and deep learning for a multitude of tasks in wireless communications, such as signal classification, spectrum sensing and signal identification and cognitive radio.
Research Interests
Papers共 24 篇Author StatisticsCo-AuthorSimilar Experts
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JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACEno. 1 (2024)
2023 International Conference on Ubiquitous Communication (Ucom)pp.193-198, (2023)
2023 International Conference on Ubiquitous Communication (Ucom)pp.259-263, (2023)
upload(2023)
arxiv(2023)
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Analytical chemistryno. 51 (2023): 18760-18766
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