Artificial Intelligence Applications for COVID-19, Detection, Control, Prediction, and Diagnosis

ISSN: 0924-669X (Print) 1573-7497 (Online)

In this topical collection (52 articles)

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  1. OriginalPaper

    From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19

    K. Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli… Pages 71-80
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  2. ReviewPaper

    Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features

    Varalakshmi Perumal, Vasumathi Narayanan… Pages 341-358
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  3. OriginalPaper

    Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

    Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey… Pages 571-585
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  4. OriginalPaper

    COVID-19 cases prediction in multiple areas via shapelet learning

    Zhi** Wang, Bing Cai Pages 595-606
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  5. OriginalPaper

    Mathematical modelling for decision making of lockdown during COVID-19

    Ahona Ghosh, Sandip Roy, Haraprasad Mondal, Suparna Biswas… Pages 699-715
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  6. OriginalPaper

    Cure models to estimate time until hospitalization due to COVID-19

    Maria Pedrosa-Laza, Ana López-Cheda, Ricardo Cao Pages 794-807
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  7. OriginalPaper

    Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

    Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber Pages 854-864
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  8. OriginalPaper

    COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization

    Tahmina Zebin, Shahadate Rezvy Pages 1010-1021
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  9. OriginalPaper

    COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble

    Muammer Turkoglu Pages 1213-1226
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  10. OriginalPaper

    COVID-19 open source data sets: a comprehensive survey

    Junaid Shuja, Eisa Alanazi, Waleed Alasmary, Abdulaziz Alashaikh Pages 1296-1325
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  11. OriginalPaper

    OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

    Tripti Goel, R. Murugan, Seyedali Mirjalili… Pages 1351-1366
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  12. OriginalPaper

    Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection

    Shwet Ketu, Pramod Kumar Mishra Pages 1492-1512
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  13. News

    Editor’s Note: Applied Intelligence and COVID-19 Research

    Page 1673
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  14. OriginalPaper

    Deep learning based detection and analysis of COVID-19 on chest X-ray images

    Rachna Jain, Meenu Gupta, Soham Taneja, D. Jude Hemanth Pages 1690-1700
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  15. OriginalPaper

    Data driven covid-19 spread prediction based on mobility and mask mandate information

    Sandipan Banerjee, Yongsheng Lian Pages 1969-1978
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  16. OriginalPaper

    Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking

    Ebenezer Jangam, Aaron Antonio Dias Barreto… Pages 2243-2259
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  17. EditorialNotes

    Editorial for the COVID special issue

    Moonis Ali, Hamido Fujita Pages 2687-2688
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  18. OriginalPaper

    Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

    Narinder Singh Punn, Sonali Agarwal Pages 2689-2702
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  19. OriginalPaper

    Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model

    Mohd Saqib Pages 2703-2713
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  20. OriginalPaper

    Kalman filter based short term prediction model for COVID-19 spread

    Koushlendra Kumar Singh, Suraj Kumar, Prachi Dixit… Pages 2714-2726
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