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After-Fatigue Condition: A Novel Analysis Based on Surface EMG Signals
This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition.
Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM
To overcome this limitation, our proposal applies a deep neural network at the receiver, utilizing the Transformer framework for signal detection of DM-IM-3D-OFDM system in Rayleigh fading channel.
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction
However, the feature extraction method is much more reliable than its selection counterpart, particularly when K is very small, such as K = 4.
Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
To formulate the SP and network service selection, we adopt an evolutionary game in which the users are able to adapt their network selections depending on the utilities that they achieve.
Computer Science and Game Theory
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems
We propose a novel deep energy autoencoder (EA) for noncoherent multicarrier multiuser single-input multipleoutput (MU-SIMO) systems under fading channels.
Information Theory Signal Processing Information Theory
