30 August 2023
Algorithms | Invitation to Read the 2021 Editor’s Choice Articles

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All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
1. “A Real-Time Network Traffic Classifier for Online Applications Using Machine Learning”
by Ahmed Abdelmoamen Ahmed and Gbenga Agunsoye
Algorithms 2021, 14(8), 250; https://doi.org/10.3390/a14080250
Available online: https://www.mdpi.com/1999-4893/14/8/250
2. “COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA”
by Charlyn Nayve Villavicencio, Julio Jerison Escudero Macrohon, Xavier Alphonse Inbaraj, Jyh-Horng Jeng and Jer-Guang Hsieh
Algorithms 2021, 14(7), 201; https://doi.org/10.3390/a14070201
Available online: https://www.mdpi.com/1999-4893/14/7/201
3. “Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning”
by Kamel Arafet and Rafael Berlanga
Algorithms 2021, 14(5), 156; https://doi.org/10.3390/a14050156
Available online: https://www.mdpi.com/1999-4893/14/5/156
4. “Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer”
by Felix D. Beacher, Lilianne R. Mujica-Parodi, Shreyash Gupta and Leonardo A. Ancora
Algorithms 2021, 14(5), 147; https://doi.org/10.3390/a14050147
Available online: https://www.mdpi.com/1999-4893/14/5/147
5. “Multiple Criteria Decision Making and Prospective Scenarios Model for Selection of Companies to Be Incubated”
by Altina S. Oliveira, Carlos F. S. Gomes, Camilla T. Clarkson, Adriana M. Sanseverino, Mara R. S. Barcelos, Igor P. A. Costa and Marcos Santos
Algorithms 2021, 14(4), 111; https://doi.org/10.3390/a14040111
Available online: https://www.mdpi.com/1999-4893/14/4/111
7. “UAV Formation Shape Control via Decentralized Markov Decision Processes”
by Md Ali Azam, Hans D. Mittelmann and Shankarachary Ragi
Algorithms 2021, 14(3), 91; https://doi.org/10.3390/a14030091
Available online: https://www.mdpi.com/1999-4893/14/3/91
8. “An Improved Greedy Heuristic for the Minimum Positive Influence Dominating Set Problem in Social Networks”
by Salim Bouamama and Christian Blum
Algorithms 2021, 14(3), 79; https://doi.org/10.3390/a14030079
Available online: https://www.mdpi.com/1999-4893/14/3/79
We would like to thank all of the research groups behind these exceptional papers for their contributions to Algorithms (ISSN: 1999-4893). You are welcome to circulate this announcement among your colleagues or through your network.