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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Mai―16 |
Detection of COVID-19 Infection Using Deep Neural Network and Machine Learning Technique |
M. Hema, T. S. N. Murthy |
| 2 |
[GO] |
2023―Dez―19 |
An Efficient CSPK-FCM Explainable Artificial Intelligence Model on COVID-19 Data to Predict the Emotion Using Topic Modeling |
Priya C., Durai Raj Vincent P. M. |
| 3 |
[GO] |
2023―Feb―22 |
Comparative Analysis of Machine Learning in Predicting the Treatment Status of COVID-19 Patients |
Anthony Anggrawan, Mayadi Mayadi, Christofer Satria, Bambang Krismono Triwijoyo, Ria Rismayati |
| 4 |
[GO] |
2023―Feb―22 |
Computer Vision-Based IoT Architecture for Post COVID-19 Preventive Measures |
Ahsanul Akib, Kamruddin Nur, Suman Saha, Jannatul Ferdous Srabonee, M. F. Mridha |
| 5 |
[GO] |
2022―Nov―30 |
Improving Operational Processes for COVID-19 Ready Smart Campus |
Donny Soh Cheng Lock, Indriyati Atmosukarto, Arthur Loo Wee Yeong, Selvakulasingam Thirunneepan, Toshiki Ishii, Rishabh Ranjan, et al. (+2) Shuyang Dou, Junichi Hirayama |
| 6 |
[GO] |
2022―Okt―08 |
A Predictive Model for Depression Risk in Thai Youth during COVID-19 |
Wongpanya S. Nuankaew, Patchara Nasa-ngium, Prem Enkvetchakul, Pratya Nuankaew |
| 7 |
[GO] |
2022―Okt―08 |
COVID-19 Infection Prediction Using Efficient Machine Learning Techniques Based on Clinical Data |
Bilal Abdualgalil, Sajimon Abraham, Waleed M. Ismael |
| 8 |
[GO] |
2022―Mai―13 |
Is It Possible to Distinguish COVID-19 Cases and Influenza with Wearable Devices? Analysis with Machine Learning |
Justyna Skibinska, Radim Burget |
