The aim of this work is to present the numerical simulations of the novel designed fractional
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …

This study indicates the design of swarming procedure based on the stochastic framework of
artificial neural networks (ANNs) along with the particle swarm optimization (PSO) and …

The aim of this systematic review was to investigate the prevalence of leptospirosis among
stray and sheltered dogs worldwide. Six databases were searched, which resulted in the …

Introduction. Working people are exposed to occupational hazards and are at risk of having
occupational disease or injury in a rapidly industrializing country like Malaysia. This study …

The purpose of this work is to present the numerical solutions of the nonlinear mathematical
Leptospirosis disease (LD) model using the computational performances of the artificial …

Leptospirosis is one of the most widespread zoonotic diseases, with more than one million
human cases reported worldwide every year. Dogs could develop infections that range from …

In this paper, we use newly introduced piecewise classical-global and classical-fractional
operators to study the dynamics of the Leptospirosis disease model. The existence and …

Leptospirosis is a serious bacterial disease that affects both humans and animals. A wide
range of symptoms have been described in humans; the disease in dogs is commonly …

Leptospirosis is a zoonosis occurring worldwide, carried by rodents which causes death in
humans. Outbreaks of Leptospirosis can occur following heavy rain and flooding. The …

The aim of such work is to design a Meyer wavelet neural network (WNN) for solving the
mathematical form of the Leptospirosis disease model (LDM). The global and local search …