Predicting the abundance of African horse sickness vectors in South Africa using GIS and artificial neural networks

<i>Culicoides</i> species as potential vectors of African horse sickness virus in the southern regions of South Africa

Abstract African horse sickness (AHS), a disease of equids

Predicting Currency Crises in Emerging Markets: A Case Study on South Africa Using Artificial Neural Networks

Purpose: In this paper, we study the potential of using Artificial Neural Network (ANN) models to pr

Predicting Seasonal Rainfall Patterns and Trends in Juba County, South Sudan Using Artificial Neural Networks

A simple Feed Forward Neural Network (FFNN) model with a learning back-propagation algorithm was app

Modelling African horse sickness emergence and transmission in the South African control area using a deterministic metapopulation approach

African horse sickness is an equine orbivirus transmitted by Culicoides

Using Neural Networks for Predicting Futures Contract Prices of White Maize in South Africa

Ecological Niche Modeling Predicting the Potential Distribution of African Horse Sickness Virus from 2020 - 2060

Abstract African horse sickness is a vector-borne, non-contagious and highly infectious di