Assembly systems (ASs) have moved into the era of mass customisation and Industry 4.0 (I4.
0). Mass customisation involves a shift from the production of high quantities of the same …

Most of the papers published so far in literature have focused on the theoretical phenomena
underlying the formation of chaos, rather than on the investigation of potential applications of …

Meta-heuristic techniques are widely used to solve different complex real-life problems in
recent scenarios. In this work, traditional key-generation mechanisms have been combined …

In this paper we present a surveillance system for early detection of escapers from a
restricted area based on a new swarming mobility model called CROMM-MS (Chaotic …

An echo state network (ESN) is a special structure of a recurrent neural network in which the
recurrent neurons are randomly connected. ESN models that have achieved high accuracy …

Chaotic hash functions are a prospective branch of modern cryptography. Being compared
with traditional hashing algorithms, an approach based on deterministic chaos allows …

This paper introduces a fractional-order financial risk system for the first time. Employing well-
known tools and analyses such as bifurcations diagrams and spectral entropy, the …

This paper presents a new chaotic system that has four attractors including two fixed point
attractors and two symmetrical chaotic strange attractors. Dynamical properties of the …

In the prediction of time series, the echo state network (ESN) exhibits exclusive strengths
and a unique training structure. Based on ESN model, a pooling activation algorithm …

This paper presents a new steganographic algorithm for quantum color images, which
utilizes DWT+ DCT+ SVD embedding technology. Firstly, in order to improve the security of …