Bridges are one of the fundamental infrastructure assets that are vital for economic growth
and public welfare. Over the past few decades, the numbers of deteriorating bridges have …

This paper proposes an improved form of chaotic based atom search optimization (IASO)
algorithm by adapting one-dimensional (1D) chaotic map (tent, sine and logistic) to improve …

This paper proposes an efficient image encryption method based on a hybrid of
watermarking and cryptographic techniques. It is based on two-level security for the secure …

Flame image recognition is of great significance in the fire detection and prevention. In this
paper, in order to improve the accuracy of fire recognition, a fast stochastic configuration …

Nowadays, Covid-19 is the most important disease that affects daily life globally. Therefore,
many methods are offered to fight against Covid-19. In this paper, a novel fuzzy tree …

Aiming at the problem of low accuracy of reliability prediction, a back propagation neural
network (BPNN) model is developed. In the process of reliability prediction, a dynamic …

The traditional particle swarm optimization (PSO) path planning algorithm represents each
particle as a path and evolves the particles to find an optimal path. However, there are …

Equilibrium Optimizer (EO) is a newly developed physics-based metaheuristic algorithm that
is based on control volume mass balance models, and has shown competitive performance …

In this paper, a new chaotic image encryption and authentication model based on Elliptic
Curves is proposed. The Elliptic Curve Diffie-Hellman (ECDH) is used to generate a reliable …

Optimization algorithms have made considerable advancements in solving complex
problems with the ability to be applied to innumerable real-world problems. Nevertheless …