Mohamed Abd Elaziz
Dados Biográficos
| ID | 6385408 |
|---|---|
| NOME | Mohamed Abd Elaziz |
| PRENOMES | Mohamed Abd |
| SOBRENOME | Elaziz |
| ASSINATURA | ELAZIZ M A |
| AFILIAÇÕES | Zagazig University |
| ORCID | 0000-0002-7682-6269 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2023 |
| ÍNDICE H | 0 |
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Prediction of Solar Activity Using Hybrid Artificial Bee Colony With Neighborhood Rough Sets
This article introduces a new hybrid technique for predicting solar activity. The proposed hybrid technique consists of four phases. The first phase is feature selection, where the most relevant features (variables) are selected based on an artificial bee colony using a neighborhood rough set as the fitness function. The second phase employs the training support vector regression (SVR) using a part of the solar activity data set based on the sele…
Marine Predators Algorithm for Forecasting Confirmed Cases of Covid-19 in Italy, USA, Iran and Korea
The current pandemic of the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars and researchers. The vast increase in infected people is a significant challenge for each country and the international community in general. The prediction and forecasting of the number of infected people (so-called confirmed cases) is a critical issue that helps in understanding the fast…
Optimized Forecasting Method for Weekly Influenza Confirmed Cases
Influenza epidemic is a serious threat to the entire world, which causes thousands of death every year and can be considered as a public health emergency that needs to be more addressed and investigated. Forecasting influenza incidences or confirmed cases is very important to do the necessary policies and plans for governments and health organizations. In this paper, we present an enhanced adaptive neuro-fuzzy inference system (ANFIS) to forecast…
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Prediction of Solar Activity Using Hybrid Artificial Bee Colony With Neighborhood Rough Sets
This article introduces a new hybrid technique for predicting solar activity. The proposed hybrid technique consists of four phases. The first phase is feature selection, where the most relevant features (variables) are selected based on an artificial bee colony using a neighborhood rough set as the fitness function. The second phase employs the training support vector regression (SVR) using a part of the solar activity data set based on the sele…
Marine Predators Algorithm for Forecasting Confirmed Cases of Covid-19 in Italy, USA, Iran and Korea
The current pandemic of the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars and researchers. The vast increase in infected people is a significant challenge for each country and the international community in general. The prediction and forecasting of the number of infected people (so-called confirmed cases) is a critical issue that helps in understanding the fast…
Optimized Forecasting Method for Weekly Influenza Confirmed Cases
Influenza epidemic is a serious threat to the entire world, which causes thousands of death every year and can be considered as a public health emergency that needs to be more addressed and investigated. Forecasting influenza incidences or confirmed cases is very important to do the necessary policies and plans for governments and health organizations. In this paper, we present an enhanced adaptive neuro-fuzzy inference system (ANFIS) to forecast…
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Artificial Intelligence (4 obras) · Computer Science (4 obras) · Machine learning (3 obras) · Mathematics (3 obras) · Statistics (3 obras) · Adaptive neuro fuzzy inference system (2 obras) · COVID-19 epidemiological studies (2 obras) · Data mining (2 obras) · Engineering (2 obras) · Feature selection (2 obras)