| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Nov―08 |
Corrigendum to “Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models” [IRBM (2023) 100725] |
Mehmet Tahir Huyut |
| 2 |
[GO] |
2023―Oct―27 |
A Wearable Monitoring Device for COVID-19 Biometric Symptoms Detection |
Claudino Costa, João M. Faria, Diana Guimarães, Demétrio Matos, António H.J. Moreira, Pedro Morais, et al. (+2) João L. Vilaça, Vítor Carvalho |
| 3 |
[GO] |
2022―Jun―01 |
Automatic detection of severely and mildly infected COVID-19 patients with Supervised Machine Learning Models |
Mehmet Tahir Huyut |
| 4 |
[GO] |
2021―Jul―26 |
AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions |
R. Karthik, R. Menaka, M. Hariharan, G.S. Kathiresan |
| 5 |
[GO] |
2021―Jan―27 |
COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network |
M. Turkoglu |
| 6 |
[GO] |
2020―Jul―03 |
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays |
Nripendra Narayan Das, Naresh Kumar, Manjit Kaur, Vijay Kumar, Dilbag Singh |
| 7 |
[GO] |
2020―May―20 |
Deep Transfer Learning based Classification Model for COVID-19 Disease |
Yadunath Pathak, Prashant Kumar Shukla, Akhilesh Tiwari, Shalini Stalin, Saurabh Singh, Piyush Kumar Shukla |
