| 1 |
[GO] |
2024―Aug―06 |
A novel extended Kumaraswamy distribution and its application to COVID-19 data |
Ahmad Abubakar Suleiman, Hanita Daud, Aliyu Ismail Ishaq, Mahmod Othman, Huda M. Alshanbari, Sundus Naji Alaziz |
| 2 |
[GO] |
2024―Apr―19 |
Axial compressive and cyclic lateral behavior of a structural masonry prism constructed from crushed COVID-19 face masks concrete bricks |
Amr Gamal Ghoniem, Louay Aboul Nour, Martina Zeleňáková, Erika Dolníková, Dušan Katunský, Mohamed Hamdy El-Feky |
| 3 |
[GO] |
2023―Dez―26 |
A novel extended inverse-exponential distribution and its application to COVID-19 data |
Moses Kargbo, Anthony Waititu Gichuhi, Anthony Kibira Wanjoya |
| 4 |
[GO] |
2023―Mai―22 |
Multifactor data analysis to forecast an individual's severity over novel COVID-19 pandemic using extreme gradient boosting and random forest classifier algorithms |
Ganesh Keshaorao Yenurkar, Sandip Mal, Vincent O. Nyangaresi, Anshul Hedau, Prajwal Hatwar, Shreyas Rajurkar, Juli Khobragade |
| 5 |
[GO] |
2022―Sep―19 |
Leveraging machine learning to analyze sentiment from COVID-19 tweets: A global perspective |
Md Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H. Sarker, Mohiuddin Ahmed, Muhammad Nazrul Islam |
| 6 |
[GO] |
2022―Jul―11 |
Epidemic trend analysis of
SARS-CoV
-2 in South Asian Association for Regional Cooperation countries using modified susceptible-infected-recovered predictive model |
Samrat Kumar Dey, Md. Mahbubur Rahman, Kabid Hassan Shibly, Umme Raihan Siddiqi, Arpita Howlader |
| 7 |
[GO] |
2021―Nov―15 |
COVID-19 and black fungus: Analysis of the public perceptions through machine learning |
Nafiz Imtiaz Khan, Tahasin Mahmud, Muhammad Nazrul Islam |
