4 December 2024
Mathematics | Top 10 Feature Papers in 2023–2024
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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: .
We would like to invite you to explore the top 10 feature papers in 2023 and 2024 in the journal Mathematics (ISSN: 2227-7390). These papers, carefully selected for their exceptional quality and relevance, represent cutting-edge research in Mathematics.
1. “On the Quality of Synthetic Generated Tabular Data”
by Erica Espinosa and Alvaro Figueira
Mathematics 2023, 11(15), 3278; https://doi.org/10.3390/math11153278
Available online: https://www.mdpi.com/2227-7390/11/15/3278
2. “Train Delay Predictions Using Markov Chains Based on Process Time Deviations and Elastic State Boundaries”
by Thomas Spanninger, Beda Büchel and Francesco Corman
Mathematics 2023, 11(4), 839; https://doi.org/10.3390/math11040839
Available online: https://www.mdpi.com/2227-7390/11/4/839
3. “Testing Equality of Several Distributions at High Dimensions: A Maximum-Mean-Discrepancy-Based Approach”
by Zhi Peng Ong, Aixiang Andy Chen, Tianming Zhu and Jin-Ting Zhang
Mathematics 2023, 11(20), 4374; https://doi.org/10.3390/math11204374
Available online: https://www.mdpi.com/2227-7390/11/20/4374
4. “Hidden Markov Mixture of Gaussian Process Functional Regression: Utilizing Multi-Scale Structure for Time Series Forecasting”
by Tao Li and Jinwen Ma
Mathematics 2023, 11(5), 1259; https://doi.org/10.3390/math11051259
Available online: https://www.mdpi.com/2227-7390/11/5/1259
5. “Integrable Systems: In the Footprints of the Greats”
by Velimir Jurdjevic
Mathematics 2023, 11(4), 1063; https://doi.org/10.3390/math11041063
Available online: https://www.mdpi.com/2227-7390/11/4/1063
6. “Deep Reinforcement Learning for Dynamic Stock Option Hedging: A Review”
by Reilly Pickard and Yuri Lawryshyn
Mathematics 2023, 11(24), 4943; https://doi.org/10.3390/math11244943
Available online: https://www.mdpi.com/2227-7390/11/24/4943
7. “Social Ranking Problems at the Interplay between Social Choice Theory and Coalitional Games”
by Felix Fritz, Stefano Moretti and Jochen Staudacher
Mathematics 2023, 11(24), 4905; https://doi.org/10.3390/math11244905
Available online: https://www.mdpi.com/2227-7390/11/24/4905
8. “Machine Learning-Based Model Predictive Control of Two-Time-Scale Systems”
by Aisha Alnajdi, Fahim Abdullah, Atharva Suryavanshi and Panagiotis D. Christofides
Mathematics 2023, 11(18), 3827; https://doi.org/10.3390/math11183827
Available online: https://www.mdpi.com/2227-7390/11/18/3827
9. “Design Evaluation and Optimization of Population Pharmacokinetics Model Using an R Package PopED”
by Howon Ryu and Weng Kee Wong
Mathematics 2023, 11(21), 4407; https://doi.org/10.3390/math11214407
Available online: https://www.mdpi.com/2227-7390/11/21/4407
10. “Chebyshev Interpolation Using Almost Equally Spaced Points and Applications in Emission Tomography”
by Vangelis Marinakis, Athanassios S. Fokas, George A. Kastis and Nicholas E. Protonotarios
Mathematics 2023, 11(23), 4757; https://doi.org/10.3390/math11234757
Available online: https://www.mdpi.com/2227-7390/11/23/4757