For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...
Abstract: network intrusion detection (NID) is a critical area of research in network security. While deep learning based NID methods have recently achieved advanced detection performance, they often ...
Abstract: This paper proposes a deep learning-based channel estimation (DLCE) technique in orthogonal frequency division multiplexing (OFDM) systems for 5G-Advanced and beyond. The proposed technique ...
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