Biological systems where order arises from disorder inspires for many metaheuristic
optimization techniques. Self-organization and evolution are the common behaviour of …

The task of incremental learning is to enable machine learning models to continuously learn
and adapt to new tasks and data in changing environments while maintaining knowledge of …

Mobile edge computing provides a low-latency, high-bandwidth cloud computing
environment for resource-constrained mobile devices by allowing mobile devices to offload …

Decision trees rank among the most popular and efficient classification methods. They are
used to represent rules for recursively partitioning the data space into regions from which …

An automatic alpha factor mining method is proposed in this paper to assist expert traders in
finding profitable alpha factors efficiently. Unlike finding qualified alpha factors by directly …

Route optimization is a common problem that has been quite common from the past to the
present. Its success has been proved in the literature by effectively solving various real …

in the present paper, we will introduce a novel color image cipher scheme based on two
enhanced rounds of the Feistel network operating at the bit level. This work aim to generate …