| |
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2026―Apr―03 |
Combining Bioinspired Red Kite Optimization and Deep Learning for Effective COVID-19 Detection in Chest Radiography |
Mohammed Altaf Ahmed, Suleman Alnatheer, Sachi Nandan Mohanty, Paruchuri Pavan Kumar, Bibhuti Bhushan Dash, Qutubuddin Mohammed |
| 2 |
[GO] |
2023―Aug―14 |
Hybrid Deep Learning Model for COVID-19 Prediction Using Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (LSTM) Network |
Deepti Malhotra, Gurinder Kaur Sodhi |
| 3 |
[GO] |
2023―Feb―16 |
Identifying the Most Relevant Attributes to Explain Peaks of COVID-19 Infections and Deaths by Machine Learning Methods |
Gabriel Pena, Juliana Gambini, Nestor R. Barraza |
| 4 |
[GO] |
2023―Feb―16 |
Editorial for the Special Issue (2022) on “The Recent Advances in Computer Theory and Software Engineering on Covid-19 Pandemic and Incurable Killer Diseases” |
Mehmet Sahinoglu, Alberto Arteta |
| 5 |
[GO] |
2023―Feb―16 |
Hospital Bed-Capacity and Emergency-Physician Risk Management - Strategies to Design Pandemic Contingency Plans |
Mehmet Sahinoglu, Ferhat Zengul |
| 6 |
[GO] |
2022―Aug―22 |
Consequences and Lessons from 2020 Pandemic Disaster: Game-Theoretic Recalibration of COVID-19 to Mobilize and Vaccinate by Rectifying False Negatives and False Positives |
Mehmet Sahinoglu, Hakan Sahinoglu |
| 7 |
[GO] |
2021―Okt―28 |
Sentiment Analysis on Covid-19 Twitter Data |
Amrutha Ragothaman, Ching-Yu Huang |
