… autoencoders or contractive autoencoders learn useful representations by making the
autoencoder … and magnitudes based on signals from a single station (Mousavi & Beroza, 2020a; …

… utilizing STFT for preprocessing amplifies autoencoder efficacy in noisy channel scenarios.
… Channel autoencoder for wireless communication: State of the art, challenges, and trends." …

… Channel Autoencoder model abstraction of an end-to-end radio communication line. In Sec.
III, we present our hybrid Channel Autoencoder … : State of the art, challenges, and trends,” …

… Channel modeling and prediction in MaMIMO particularly suffer from … the challenges
discussed-above - which is for the first time. In addition, we consequently propose 7 open trends eg …

… in TV or videos through cameras and face tracking software. … directions and trends based
on the current challenges of … with segmented stacked autoencoders considering the whole …

… In this work, we showed that the code design for wiretap channel based on an autoencoder
can provide us the flexibility of varying the operating point on the leakage and BLER plane, …

… challenges and future machine learning trends for channel … development, especially in
channel coding advancements. … An RNN was used to construct a channel autoencoder in [113] …

… There is a recent trend to develop high-density neural interfaces that include tens of
thousands and even hundreds of thousands channels [1]. For example, multiple studies have …

… , specifically treating different frequency channel spectrums as differing modes. The model
is composed of autoencoders (AEs) for each channel mode, structured regularization for …

… An interesting recent trend in the literature is to exploit unique biometric signals, such as …
tasks become easier and more accurate. Considering the advantages given to the side-channel …