| |
original article |
Journal |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
Engineering Technology & Applied Science Research |
2025―Apr―04 |
Efficient COVID-19 Detection using Optimized MobileNetV3-Small with SRGAN for Web Application |
Nattavut Sriwiboon, Songgrod Phimphisan |
| 2 |
[GO] |
Engineering Technology & Applied Science Research |
2025―Feb―02 |
Digital Health Transformation in Saudi Arabia: Examining the Impact of Health Information Seeking on M-Health Adoption during the COVID-19 Pandemic |
Nasser Aljohani |
| 3 |
[GO] |
Engineering Technology & Applied Science Research |
2025―Feb―02 |
Analysis of the Excess Deaths in Ecuador caused by the COVID-19 during 2020 and 2021 |
Marco E. Benalcazar, Cesar Israel Leon Cifuentes, Jose Miguel Munoz Ona, Angel Leonardo Valdivieso Caraguay, Lorena Isabel Barona Lopez |
| 4 |
[GO] |
Engineering Technology & Applied Science Research |
2023―Jun―02 |
A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language |
Filbert Mlawa, Elizabeth Mkoba, Neema Mduma |
| 5 |
[GO] |
Engineering Technology & Applied Science Research |
2022―Jun―07 |
Sentiment Analysis of Public Tweets Towards the Emergence of SARS-CoV-2 Omicron Variant: A Social Media Analytics Framework |
M. Mahyoob, J. Algaraady, M. Alrahiali, A. Alblwi |
| 6 |
[GO] |
Engineering Technology & Applied Science Research |
2022―Feb―13 |
A Review on the Use of Machine Learning Against the Covid-19 Pandemic |
S. A. A. Biabani, N. A. Tayyib |
| 7 |
[GO] |
Engineering Technology & Applied Science Research |
2022―Feb―13 |
Automatic Diagnosis of Covid-19 Related Pneumonia from CXR and CT-Scan Images |
N. Kumar, A. Hashmi, M. Gupta, A. Kundu |
| 8 |
[GO] |
Engineering Technology & Applied Science Research |
2021―Dec―12 |
A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction |
H. Alalawi, M. Alsuwat, H. Alhakami |
| 9 |
[GO] |
Engineering Technology & Applied Science Research |
2021―Aug―22 |
In-silico Study of the Developed Hydroxychloroquine-based ACE2 Inhibitor Molecules Against COVID-19: Molecular Modeling and Docking |
K. Zaher, N. E. Masango, W. Sobhi, K. E. Kanouni, A. Semmeq, Y. Benguerba |
| 10 |
[GO] |
Engineering Technology & Applied Science Research |
2021―Apr―12 |
Factors Affecting the Adoption of E-Learning Technology by Students during the COVID-19 Quarantine Period: The Application of the UTAUT Model |
H. Chatti, S. Hadoussa |
