Recently, natural fibers become attractive to automotive industry as an alternative
reinforcement for glass fiber reinforced thermoplastics. Additionally, natural fiber …

This study examines how boundary conditions affect the modeling of mixed convection flow
in an inclined tube for ciliary motion of a non-Newtonian fluid. Understanding mixed …

A novel procedure to perform fuzzy clustering of multivariate time series generated from
different dependence models is proposed. Different amounts of dissimilarity between the …

Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …

ABSTRACT Deep Learning Neural Network (DLNN), i for complex feature representatio
Although it was mainly suited for image f method of mammalian visual system), if an type of …

This paper presents the development and comparison of muscle models based on
Functional Electrical Stimulation (FES) stimulation parameters using the Nonlinear Auto …

In this paper, a hybrid metaheuristic of Particle Swarm Optimization (PSO) and the Interior
Point Algorithm (IPA) is used to analyze and find better solutions to the nonlinear magneto …

The changing of physical characteristics of the hydrological system have caused a lot of
natural phenomenon, which leads to flooding as one of the major problems that cause …

Non-fatal road accident injury has become a great concern as it is associated with injury and
sometimes leads to the disability of the victims. Hence, this study aims to develop a model …

In this study, authors address the problem of analyzing the Jeffrey–Hamel nanofluid flow
within a nonparallel channel under the influence of a thermally balanced non-Darcy …