| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―Aug―29 |
Not from scratch: Explainable deep transfer learning fine-tunning with domain adaptation enables trustworthy COVID-19 prediction |
Bingqiang Zhao, Honglin Zhai, Tianhua Wang, Haiping Shao, Ling Zhu |
| 2 |
[GO] |
2023―Sep―19 |
On asymmetric relations and robustified cross-correlation approach to surveillance based on detection of SARS-CoV-2 in wastewater in Chile and Perú |
Milan Stehlík, Claudia Ibacache-Quiroga, M. Alejandro Dinamarca, Karoll Gonzalez-Pizarro, Cesar A. Valdivia-Carrera, Eloy Gonzales-Gustavson, et al. (+2) Ana C. Ho-Palma, Bastían Barraza-Morales |
| 3 |
[GO] |
2023―Jul―31 |
Environmental science through orbiters. An example of Sentinel-5P on how the Covid-19 pandemic impacted the air quality |
Carlos Martín, José Manuel Amigo, Kepa Castro |
| 4 |
[GO] |
2023―Mar―03 |
COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images |
Yanfu Wu, Qun Dai, Han Lu |
| 5 |
[GO] |
2023―Jan―02 |
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics |
Omneya Attallah |
| 6 |
[GO] |
2022―Oct―22 |
A robust semantic lung segmentation study for CNN-based COVID-19 diagnosis |
Muhammet Fatih Aslan |
| 7 |
[GO] |
2022―Oct―03 |
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences |
Bihter Das |
| 8 |
[GO] |
2022―Sep―28 |
Application of Gaussian process regression and asymmetric least squares baseline algorithm on the determination of electrochemical sensor characteristics: A case study on SARS-CoV-2 glucometer |
N. Alper Tapan |
| 9 |
[GO] |
2022―Aug―24 |
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2 |
Bihter Das, Mucahit Kutsal, Resul Das |
| 10 |
[GO] |
2022―Jul―21 |
Prediction of viral-host interactions of COVID-19 by computational methods |
Talha Burak Alakus, Ibrahim Turkoglu |
| 11 |
[GO] |
2022―Mar―30 |
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images |
Narin Aslan, Gonca Ozmen Koca, Mehmet Ali Kobat, Sengul Dogan |
| 12 |
[GO] |
2022―Mar―15 |
Classifying COVID-19 based on amino acids encoding with machine learning algorithms |
Walaa Alkady, Khaled ElBahnasy, Víctor Leiva, Walaa Gad |
| 13 |
[GO] |
2022―Mar―11 |
Determining the efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting Covid-19 pneumonia |
Sadia Showkat, Shaima Qureshi |
| 14 |
[GO] |
2021―Jul―22 |
Identification of Food Compounds as Inhibitors of SARS-CoV-2 Main Protease Using Molecular Docking and Molecular Dynamics Simulations |
Vijay H. Masand, Md Fulbabu Sk, Parimal Kar, Vesna Rastija, Magdi E.A. Zaki |
| 15 |
[GO] |
2021―Jun―29 |
A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data |
Abdullah Yalçınkaya, İklim Gedik Balay, Birdal Şenoǧlu |
| 16 |
[GO] |
2021―Feb―05 |
QSAR study of unsymmetrical aromatic Disulfides as potent avian SARS-CoV main protease inhibitors using quantum chemical descriptors and statistical methods |
Samir Chtita, Assia Belhassan, Mohamed Bakhouch, Abdelali Idrissi Taourati, Adnane Aouidate, Salah Belaidi, et al. (+4) Mohammed Moutaabbid, Said Belaaouad, Mohammed Bouachrine, Tahar Lakhlifi |
| 17 |
[GO] |
2021―Jan―29 |
A novel Covid-19 and Pneumonia Classification Method based on F-transform |
Turker Tuncer, Fatih Ozyurt, Sengul Dogan, Abdulhamit Subasi |
| 18 |
[GO] |
2020―Oct―04 |
Structure features of peptide-type SARS-CoV main protease inhibitors: Quantitative structure activity relationship study |
Vijay H. Masand, Siddhartha Akasapu, Ajaykumar Gandhi, Vesna Rastija, Meghshyam K. Patil |
