Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

A new method for attack detection of smart grids with wind power generators using reservoir
computing (RC) is introduced in this paper. RC is an energy-efficient computing paradigm …

Reservoir computing (RC) is a class of neuromorphic computing approaches that deals
particularly well with time-series prediction tasks. It significantly reduces the training …

In this paper, we introduce a reservoir computing (RC) structure, namely, windowed echo
state network (WESN), for multiple-input-multiple-output orthogonal frequency-division …

Conventional reservoir computing (RC) is a shallow recurrent neural network (RNN) with
fixed high dimensional hidden dynamics and one trainable output layer. It has the nice …

Von Neumann bottleneck, which refers to the limited throughput between the CPU and
memory, has already become a major factor hindering the technical advances of computing …

With the emerging cutting-edge semiconductor nanotechnologies, reservoir computing has
shifted the focus from software implementation towards hardware and optical …

Reservoir Computing (RC) is a class of machine learning approaches that is suitable for
prediction tasks with low computational complexity. In this paper, an RC-based symbol …

As the novel paradigm in the field of machine learning, reservoir computing possesses
exceptional performance, eg, energy efficiency, in tasks in which the traditional von …

This chapter introduces the novel applications of deep reservoir computing (RC) systems in
cyber-security and wireless communication. The RC systems are a new class of recurrent …