Generation of specific xylooligosaccharides (XOS) is attractive to the pharmaceutical and food industries due to the importance of their structure upon their application. This study used chemometrics to develop a comprehensive computational modelling set to predict the parameters maximising the...

In this paper, we investigate the global asymptotic stability and synchronization of fractional delayed memristive neural networks with algebraic constraints in sense of Riemann-Liouville. Firstly, inspired by the existing neural network models with constraints, we use fractional singular...

Solving non-linear parabolic partial differential equations (PDEs) in high dimension becomes an interest for its curse of dimensionality problem. Recently, a deep learning method associated with a backward stochastic differential equation (deep-BSDE) to solve the PDEs draws intensive discussions...

A multi-objective optimisation methodology based on determining economic and environmental key performance indicators is presented and tested as a decision tool supporting the preliminary design of Carbon Capture and Storage (CCS) CO2 transport pipelines. The above involves determining...

As the need for automatization of the electricity grid’s fault diagnosis schemes is rising, the application of technologies such as the artificial intelligence (AI) can provide practical solutions to the problem. AI can overcome the challenges that complex topologies like those of the low...

A quadratic voltage (QV) model with modifications is proposed to formulate the meshed networks’ optimal power flow (OPF) problem. In the QV model, convex relaxations are imposed without approximated terms. The modifications aim to drive the convex relaxations to be exact so that the obtained...

The Grey Wolf Optimization algorithm (GWO) is one of the popular meta-heuristic algorithms in Evolutionary Computation. However, the GWO algorithm is having many drawbacks such as less accurateness, incapable of local searching competence, and low convergence speed. Therefore, in this paper an...

Biogas is a pervade renewable energy source in rural areas, which can be used to generate power, heating and gas to satisfy the multi-energy needs of users. This paper establishes a bi-level optimization model of integrated biogas energy system considering the thermal comfort of heat customers...

In this paper, the theoretic analysis by stochastic dynamics and numerical simulation by ANN algorithm for tumor-immune models driven by random noises are studied. Firstly, a mathematical model about the competition between tumor cells and immune system is established based on the...

Many text mining methods have used statistical information as text and language-independent procedures that are not deterministic. Text mining methods based on stochastic patterns and rules need many samples to train. On the other hand, deterministic and non-probabilistic methods are easy to...