CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana

Record type:

paper

Creator:

L. AhmUsmMoh

Publisher:

Spr

Host:

Visit

Licenses

https://www.springer.com/tdm https://www.springer.com/tdm

Similar

Short-Term Load Forecasting Based on CNN and LSTM Deep Neural NetworksHybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, AlgeriaAttributable Fraction and Forecasting for COVID-19 Confirmed Cases in Nigeria Using Facebook- Prophet Machine Learning ModelA COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility ReportsDeep Hybrid Learning for Sustainable Industrial Forecasting: Integrating CNN–LSTM Models to Enhance Economic Efficiency and Carbon PerformanceHierarchical forecasting of COVID-19 cases in Africa using machine learning models

Short-Term Load Forecasting Based on CNN and LSTM Deep Neural Networks

International audience In the coming years, the world will witness a global transitio

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

Abstract This paper provides an in-depth analysis and performance evaluation of four Sol

Attributable Fraction and Forecasting for COVID-19 Confirmed Cases in Nigeria Using Facebook- Prophet Machine Learning Model

Aims: The motivation is to know the attributable fraction among Nigerians who tested positive for co

A COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility Reports

Abstract The rapidly spreading COVID-19 disease had already infected more than 190 countries. As a

Deep Hybrid Learning for Sustainable Industrial Forecasting: Integrating CNN–LSTM Models to Enhance Economic Efficiency and Carbon Performance

This paper explores the contribution of neural network-based safeguarding models to enhancing the en

Hierarchical forecasting of COVID-19 cases in Africa using machine learning models

Introduction The COVID-19 pandemic posed significant challenges for public hea