This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …

Fiber Kerr nonlinearity is a fundamental limitation to the achievable capacity of long-distance
optical fiber communication. Digital back-propagation (DBP) is a primary methodology to …

In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …

Nonlinear frequency division multiplexing (NFDM) transmission scheme has attracted great
interest in optical fiber communication systems due to its potential for surpassing the Kerr …

In recent years, demand for electric energy has steadily increased; therefore, the integration
of renewable energy sources (RES) at a large scale into power systems is a major concern …

Two conceptual convolutional neural network (CNN) schemes are proposed, developed and
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …

Bidirectional recurrent neural networks (bi-RNNs), in particular bidirectional long short term
memory (bi-LSTM), bidirectional gated recurrent unit, and convolutional bi-LSTM models …

Carrier frequency offset (CFO) estimation is very important for the optical fiber
communications and has been studied widely in linear coherent systems, while only a few …

In this paper, different neural network-based methods are proposed to improve the
achievable information rate in amplitude-modulated soliton communication systems. The …