Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …

Fluid dynamics problems are characterized by being multidimensional and nonlinear.
Therefore, experiments and numerical simulations are complex and time-consuming …

One of the most effective nonlinear detection techniques utilized in Multi Input Multi Output
(MIMO) systems is sphere decoding It consists of a group of very effective algorithms that …

In this letter, we investigate the use of machine learning (ML) to reduce the detection
complexity of faster-than-Nyquist (FTN) signaling. In particular, we view the FTN signaling …

Condition monitoring is essentially a complex multi-classification task that requires
struggling with multiple conditions and imbalanced data. To address this issue, this study …

In this paper, we investigate the decoding of Fasterthan-Nyquist (FTN) signals using
Recurrent Neural Networks (RNNs) and compare it to traditional decision feedback …

There will be a significant demand on having a fast and reliable wireless communication
systems in future. Since bandwidth and bit rate are tightly connected to each other, one …

Spectrum scarcity necessitates innovative, spectralefficient strategies to meet the ever-
growing demand for high data rates. Faster-than-Nyquist (FTN) signaling emerges as a …