Ahmed A Ewees
Biographic Data
| ID | 6385409 |
|---|---|
| NAME | Ahmed A Ewees |
| GIVEN NAMES | Ahmed A |
| FAMILY NAME | Ewees |
| SIGNATURE | EWEES A A |
| AFFILIATIONS | Damietta University |
| ORCID | 0000-0002-0666-7055 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
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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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 (3 works) · Computer Science (3 works) · Machine learning (3 works) · Adaptive neuro fuzzy inference system (2 works) · COVID-19 epidemiological studies (2 works) · Data mining (2 works) · Engineering (2 works) · Fuzzy control system (2 works) · Fuzzy logic (2 works) · Inference system (2 works)