24 November 2022
Algorithms | Top Cited Papers in 2021 Related to Machine Learning
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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.
Original Submission Date Received: .
“COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA”
by Villavicencio, C. N., Macrohon, J. J. E., Inbaraj, X. A., Jeng, J.-H. and Hsieh, J. -G.
Algorithms 2021, 14(7), 201, https://doi.org/10.3390/a14070201
Available online: https://www.mdpi.com/1999-4893/14/7/201
“Circle-U-Net: An Efficient Architecture for Semantic Segmentation”
by Sun, F., V, A. K., Yang, G., Zhang, A. and Zhang, Y.
Algorithms 2021, 14(6), 159; https://doi.org/10.3390/a14060159
Available online: https://www.mdpi.com/1999-4893/14/6/159
“A Real-Time Network Traffic Classifier for Online Applications Using Machine Learning”
by Ahmed, A. A. and Agunsoye, G.
Algorithms 2021, 14(8), 250; https://doi.org/10.3390/a14080250
Available online: https://www.mdpi.com/1999-4893/14/8/250
“Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning”
by Kegenbekov, Z. and Jackson, I.
Algorithms 2021, 14(8), 240; https://doi.org/10.3390/a14080240
Available online: https://www.mdpi.com/1999-4893/14/8/240
“Data Mining Algorithms for Smart Cities: A Bibliometric Analysis”
by Kousis, A. and Tjortjis, C.
Algorithms 2021, 14(8), 242; https://doi.org/10.3390/a14080242
Available online: https://www.mdpi.com/1999-4893/14/8/242
“Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer”
by Beacher, F. D., Mujica-Parodi, L. R., Gupta, S. and Ancora, L. A.
Algorithms 2021, 14(5), 147; https://doi.org/10.3390/a14050147
Available online: https://www.mdpi.com/1999-4893/14/5/147
“Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning”
by Arafet, K. and Berlanga, R.
Algorithms 2021, 14(5), 156; https://doi.org/10.3390/a14050156
Available online: https://www.mdpi.com/1999-4893/14/5/156
“Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears”
by Nakasi, R., Mwebaze, E. and Zawedde, A.
Algorithms 2021, 14(1), 17; https://doi.org/10.3390/a14010017
Available online: https://www.mdpi.com/1999-4893/14/1/17
“Combining Optimization Methods Using an Adaptive Meta Optimizer”
by Landro, N., Gallo, I. and La Grassa, R.
Algorithms 2021, 14(6), 186; https://doi.org/10.3390/a14060186
Available online: https://www.mdpi.com/1999-4893/14/6/186
“Optimal CNN–Hopfield Network for Pattern Recognition Based on a Genetic Algorithm”
by Keddous, F. E. and Nakib, A.
Algorithms 2022, 15(1), 11; https://doi.org/10.3390/a15010011
Available online: https://www.mdpi.com/1999-4893/15/1/11