| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India
|
Shrivastav, Lokesh Kumar
|
|
|
51 |
5 |
p. 2727-2739
|
artikel
|
| 2 |
A method based on Graph Theory and Three Way Decisions to evaluate critical regions in epidemic diffusion:
|
Gaeta, Angelo
|
|
|
51 |
5 |
p. 2939-2955
|
artikel
|
| 3 |
An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images
|
Hira, Swati
|
|
|
51 |
5 |
p. 2864-2889
|
artikel
|
| 4 |
A new clustering method for the diagnosis of CoVID19 using medical images
|
Mittal, Himanshu
|
|
|
51 |
5 |
p. 2988-3011
|
artikel
|
| 5 |
A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks
|
Yasar, Huseyin
|
|
|
51 |
5 |
p. 2740-2763
|
artikel
|
| 6 |
Attention-based VGG-16 model for COVID-19 chest X-ray image classification
|
Sitaula, Chiranjibi
|
|
|
51 |
5 |
p. 2850-2863
|
artikel
|
| 7 |
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
|
Punn, Narinder Singh
|
|
|
51 |
5 |
p. 2689-2702
|
artikel
|
| 8 |
Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component
|
Mohammed, Thura J.
|
|
|
51 |
5 |
p. 2956-2987
|
artikel
|
| 9 |
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection
|
Chakraborty, Mainak
|
|
|
51 |
5 |
p. 3026-3043
|
artikel
|
| 10 |
Correction to: Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks
|
Govindarajan, Satyavratan
|
|
|
51 |
5 |
p. 2776
|
artikel
|
| 11 |
Cropping and attention based approach for masked face recognition
|
Li, Yande
|
|
|
51 |
5 |
p. 3012-3025
|
artikel
|
| 12 |
Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification
|
P, Samson Anosh Babu
|
|
|
51 |
5 |
p. 3104-3120
|
artikel
|
| 13 |
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
|
Mukherjee, Himadri
|
|
|
51 |
5 |
p. 2777-2789
|
artikel
|
| 14 |
Densely connected convolutional networks-based COVID-19 screening model
|
Singh, Dilbag
|
|
|
51 |
5 |
p. 3044-3051
|
artikel
|
| 15 |
Design and analysis of a large-scale COVID-19 tweets dataset
|
Lamsal, Rabindra
|
|
|
51 |
5 |
p. 2790-2804
|
artikel
|
| 16 |
Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks
|
Govindarajan, Satyavratan
|
|
|
51 |
5 |
p. 2764-2775
|
artikel
|
| 17 |
Editorial for the COVID special issue
|
Ali, Moonis
|
|
|
51 |
5 |
p. 2687-2688
|
artikel
|
| 18 |
FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms
|
Huang, Zhenxing
|
|
|
51 |
5 |
p. 2838-2849
|
artikel
|
| 19 |
“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”
|
Al-antari, Mugahed A.
|
|
|
51 |
5 |
p. 2890-2907
|
artikel
|
| 20 |
Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model
|
Saqib, Mohd
|
|
|
51 |
5 |
p. 2703-2713
|
artikel
|
| 21 |
Intelligent system for COVID-19 prognosis: a state-of-the-art survey
|
Nayak, Janmenjoy
|
|
|
51 |
5 |
p. 2908-2938
|
artikel
|
| 22 |
Kalman filter based short term prediction model for COVID-19 spread
|
Singh, Koushlendra Kumar
|
|
|
51 |
5 |
p. 2714-2726
|
artikel
|
| 23 |
Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis
|
Amara, Amina
|
|
|
51 |
5 |
p. 3052-3073
|
artikel
|
| 24 |
SEIAQRDT model for the spread of novel coronavirus (COVID-19): A case study in India
|
Kumari, Preety
|
|
|
51 |
5 |
p. 2818-2837
|
artikel
|
| 25 |
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
|
Li, Daqiu
|
|
|
51 |
5 |
p. 2805-2817
|
artikel
|
| 26 |
The analysis of isolation measures for epidemic control of COVID-19
|
Huang, Bo
|
|
|
51 |
5 |
p. 3074-3085
|
artikel
|
| 27 |
Using artificial intelligence techniques for COVID-19 genome analysis
|
Nawaz, M. Saqib
|
|
|
51 |
5 |
p. 3086-3103
|
artikel
|
Tijdschrift beschrijving