Special Issues

Informatics runs special issues to create collections of papers on specific topics. The aim is to build a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors who are experts in the subject and oversee the editorial process for papers. Papers published in a Special Issue will be collected together on a dedicated page of the journal website. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Managing the Consequences of the COVID-19 in the Every-Day Working, Learning, and Interacting Life
edited by and Flavia Di Costa
submission deadline 31 Aug 2021 | 3 articles
Deep Learning in Space Informatics
edited by Panagiotis Partsinevelos, Ioannis Giannopoulos and
submission deadline 30 Sep 2021
(This special issue belongs to the Section Machine Learning)
Big Data and Transportation
edited by
submission deadline 31 Oct 2021 | 1 articles
(This special issue belongs to the Section Big Data Mining and Analytics)
Big Data Analytics, AI and Machine Learning in Marketing
edited by
submission deadline 31 Oct 2021
(This special issue belongs to the Section Big Data Mining and Analytics)
Machine Learning in Industry 4.0: From Predictive Maintenance to Design Support Systems
edited by Luca Romeo, Marina Paolanti, Emanuele Frontoni and Tapio A. Heikkilä
submission deadline 30 Nov 2021 | 2 articles
(This special issue belongs to the Section Machine Learning)
Feature Paper in Informatics
edited by
submission deadline 31 Dec 2021 | 14 articles
Towards the Next-Generation of Network Monitoring Systems submission deadline 15 Jan 2022 | 1 articles
Machine Learning in Soil and Environmental Science
edited by and Taha Ouarda
submission deadline 30 Apr 2022
(This special issue belongs to the Section Machine Learning)
Applications of Machine Learning and Deep Learning in Agriculture
edited by Phuong T. Nguyen and Vito Walter Anelli
submission deadline 30 Sep 2022
(This special issue belongs to the Section Machine Learning)
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