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Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19

Author

Listed:
  • Victor Chang

    (Teesside University)

  • Carole Goble

    (University of Manchester)

  • Muthu Ramachandran

    (Integrated Cloud Solutions)

  • Lazarus Jegatha Deborah

    (Anna University)

  • Reinhold Behringer

    (Knorr-Bremse GmbH
    Leeds Beckett University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Victor Chang & Carole Goble & Muthu Ramachandran & Lazarus Jegatha Deborah & Reinhold Behringer, 2021. "Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19," Information Systems Frontiers, Springer, vol. 23(6), pages 1363-1367, December.
    • Handle: RePEc:spr:infosf:v:23:y:2021:i:6:d:10.1007_s10796-021-10216-7
    DOI: 10.1007/s10796-021-10216-7
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    References listed on IDEAS

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    1. Francesco Piccialli & Vincenzo Schiano Cola & Fabio Giampaolo & Salvatore Cuomo, 2021. "The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 23(6), pages 1467-1497, December.
    2. Harleen Kaur & Shafqat Ul Ahsaan & Bhavya Alankar & Victor Chang, 2021. "A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets," Information Systems Frontiers, Springer, vol. 23(6), pages 1417-1429, December.
    3. Prabh Deep Singh & Rajbir Kaur & Kiran Deep Singh & Gaurav Dhiman, 2021. "A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients," Information Systems Frontiers, Springer, vol. 23(6), pages 1385-1401, December.
    4. Longling Zhang & Bochen Shen & Ahmed Barnawi & Shan Xi & Neeraj Kumar & Yi Wu, 2021. "FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia," Information Systems Frontiers, Springer, vol. 23(6), pages 1403-1415, December.
    5. Sabrina Sicari & Cinzia Cappiello & Francesco Pellegrini & Daniele Miorandi & Alberto Coen-Porisini, 2016. "A security-and quality-aware system architecture for Internet of Things," Information Systems Frontiers, Springer, vol. 18(4), pages 665-677, August.
    6. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    7. R. Elakkiya & Pandi Vijayakumar & Marimuthu Karuppiah, 2021. "COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking," Information Systems Frontiers, Springer, vol. 23(6), pages 1369-1383, December.
    8. Jyoti Choudrie & Shruti Patil & Ketan Kotecha & Nikhil Matta & Ilias Pappas, 2021. "Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study," Information Systems Frontiers, Springer, vol. 23(6), pages 1431-1465, December.
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