Nonlinear regression analysis is an important statistical method widely used in many fields of science to model the complex relationships between variables. Therefore, studies have been conducted estimate parameters nonlinear models using various iterative techniques. In this study, efficient hybrid algorithm, namely PSONM, by combining exploration capability Particle Swarm Optimization (PSO) a...

The Internet of Things (IoT) is a collection connected devices capable interacting with the physical world and computer systems. It estimated that IoT will consist more than seventy five billion by year 2025. In addition to sheer numbers, need for security exacerbated fact many edge employ weak no encryption communication link. has been almost 70% use form encryption. Previous research suggeste...

In this paper, we propose a novel methodology that combines the opposition Nelder–Mead algorithm and selection phase of genetic algorithm. This integration aims to enhance performance overall To evaluate effectiveness our methodology, conducted comprehensive comparative study involving 11 state-of-the-art algorithms renowned for their exceptional in 2022 IEEE Congress on Evolutionary Computatio...

In many scientific fields, the dynamics of system are often known, and main challenge is to estimate parameters that model behavior system. The question then arises whether one can use experimental measurements response derive parameters? This problem has been addressed in papers focus mainly on data from a deterministic model, but few efforts have made stochastic instead. this paper, we addres...

A novel identification technique of hydrogen transport parameters using FESTIM (Finite Element Simulation Tritium In Materials) has been demonstrated. is a finite element code developed with FEniCS performing simulations. The trapping (detrapping energies and trap densities) are identified for various materials (Tungsten, Aluminium, EUROFER Beryllium) by automatically reproducing thermo-desorpt...