Artificial Neural Networks is a calculation method that builds several processing units based
on interconnected connections. The network consists of an arbitrary number of cells or …

Cryptocurrencies are in high demand now due to their volatile and untraceable nature.
Bitcoin, Ethereum, and Dogecoin are just a few examples. This research seeks to identify …

Machine learning (ML), a subset of artificial intelligence, refers to methods that have the
ability to “learn” from experience, enabling them to carry out designated tasks. Examples of …

This work proposes and investigates the dynamic behavior of a new memristive chaotic
Sprott B system. One of the interesting features of this system is that it has a bias term that …

Quantification of habitability is a complex task. Previous attempts at measuring habitability
are well documented. Classification of exoplanets, on the other hand, is a different approach …

The high spread rate of SARS-CoV-2 virus has put the researchers all over the world in a
demanding situation. The need of the hour is to develop novel learning algorithms that can …

Chaos and Noise are ubiquitous in the Brain. Inspired by the chaotic firing of neurons and
the constructive role of noise in neuronal models, we for the first time connect chaos, noise …

Modern Computational Fields including Machine Learning, Artificial Intelligence, Data
Science, Internet of Things, and many others have emerged in response to recent …

Network abnormal traffic detection is a hot topic in network security. Based on the theory of
chaotic neural network, this paper constructs a network traffic anomaly detection model to …

Discovering cause and effect variables from observational data is an important but
challenging problem in science and engineering. In this work, a recently proposed brain …