We are pleased to announce the top 10 highly viewed papers in 2023 and 2024 from the “Mathematics and Computer Science” Section of Mathematics (ISSN: 2227-7390), carefully selected for their exceptional quality and relevance. We invite you to read these papers, which represent cutting-edge research combining mathematical reasoning and computing.
1. “A Mathematical Investigation of Hallucination and Creativity in GPT Models”
by Minhyeok Lee
Mathematics 2023, 11(10), 2320; https://doi.org/10.3390/math11102320
Full text available online: https://www.mdpi.com/2227-7390/11/10/2320
2. “It’s All in the Embedding! Fake News Detection Using Document Embeddings”
by Ciprian-Octavian Truică and Elena-Simona Apostol
Mathematics 2023, 11(3), 508; https://doi.org/10.3390/math11030508
Full text available online: https://www.mdpi.com/2227-7390/11/3/508
3. “Review of Quaternion-Based Color Image Processing Methods”
by Chaoyan Huang, Juncheng Li and Guangwei Gao
Mathematics 2023, 11(9), 2056; https://doi.org/10.3390/math11092056
Full text available online: https://www.mdpi.com/2227-7390/11/9/2056
4. “A Mathematical Interpretation of Autoregressive Generative Pre-Trained Transformer and Self-Supervised Learning”
by Minhyeok Lee
Mathematics 2023, 11(11), 2451; https://doi.org/10.3390/math11112451
Full text available online: https://www.mdpi.com/2227-7390/11/11/2451
5. “Review of GrabCut in Image Processing”
by Zhaobin Wang, Yongke Lv, Runliang Wu and Yaonan Zhang
Mathematics 2023, 11(8), 1965; https://doi.org/10.3390/math11081965
Full text available online: https://www.mdpi.com/2227-7390/11/8/1965
6. “Performance Analysis of Long Short-Term Memory Predictive Neural Networks on Time Series Data”
by Roland Bolboacă and Piroska Haller
Mathematics 2023, 11(6), 1432; https://doi.org/10.3390/math11061432
Full text available online: https://www.mdpi.com/2227-7390/11/6/1432
7. “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
Full text available online: https://www.mdpi.com/2227-7390/11/15/3278
8. “C-KAN: A New Approach for Integrating Convolutional Layers with Kolmogorov–Arnold Networks for Time-Series Forecasting”
by Ioannis E. Livieris
Mathematics 2024, 12(19), 3022; https://doi.org/10.3390/math12193022
Full text available online: https://www.mdpi.com/2227-7390/12/19/3022
9. “Quantum Computing in Telecommunication—A Survey”
by Frank Phillipson
Mathematics 2023, 11(15), 3423; https://doi.org/10.3390/math11153423
Full text available online: https://www.mdpi.com/2227-7390/11/15/3423
10. “A Depth-Progressive Initialization Strategy for Quantum Approximate Optimization Algorithm”
by Xinwei Lee, Ningyi Xie, Dongsheng Cai, Yoshiyuki Saito and Nobuyoshi Asai
Mathematics 2023, 11(9), 2176; https://doi.org/10.3390/math11092176
Full text available online: https://www.mdpi.com/2227-7390/11/9/2176