Wind power is one of the main sources of renewable energy. Precise forecast of the power
output of wind farms could greatly decrease the negative impact of wind power on power …

Following the publication of the Task Force document on heart rate variability (HRV) in 1996,
a number of articles have been published to describe new HRV methodologies and their …

Images serve as a valuable information carrier for their properties of visualization and
holding a large amount of messages. This paper presents a novel chaos-based encryption …

Chaotic systems are the most essential tools for wide range of applications such as
communication, watermarking, data compression and multimedia encryption. However, the …

In a business environment with strict competition among firms, accurate demand forecasting
is not straightforward. In this paper, a forecasting method is proposed, which has a strong …

In this paper, we propose a novel one-dimensional sine-cosine chaotic map (SCCM) to
address the shortcomings of existing one-dimensional chaotic maps. And demonstrating that …

The price forecasting of the digital currencies in the financial market is of great importance,
especially after the recent global economic crises. Due to the nonlinear dynamics, which is …

We explore the evolution of the informational efficiency in 45 cryptocurrency markets and 16
international stock markets before and during COVID-19 pandemic. The measures of …

We implement deep learning techniques to forecast the price of the three most widely traded
digital currencies ie, Bitcoin, Digital Cash and Ripple. To the best of our knowledge, this is …

This paper introduces a method of making a simple and effective chaotic system by using a
difference of the output sequences of two same existing one-dimension (1D) chaotic maps …