We invite you to delve into the top 10 cited papers in 2023 in the Section “Mathematics and Computer Science” of Mathematics (ISSN: 2227-7390). These papers, carefully selected for their exceptional quality and relevance, represent cutting-edge research in mathematics and computer science.

1. “Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting”
by Xue-Bo Jin, Zhong-Yao Wang, Wen-Tao Gong, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma and Prasun Chakrabarti
Mathematics 2023, 11(4), 837; https://doi.org/10.3390/math11040837
Full text available online: https://www.mdpi.com/2227-7390/11/4/837

2. “Machine-Learning Methods on Noisy and Sparse Data”
by Konstantinos Poulinakis, Dimitris Drikakis, Ioannis W. Kokkinakis and Stephen Michael Spottswood
Mathematics 2023, 11(1), 236; https://doi.org/10.3390/math11010236
Full text available online: https://www.mdpi.com/2227-7390/11/1/236

3. “On Model Identification Based Optimal Control and Its Applications to Multi-Agent Learning and Control”
by Rui Luo, Zhinan Peng and Jiangping Hu
Mathematics 2023, 11(4), 906; https://doi.org/10.3390/math11040906
Full text available online: https://www.mdpi.com/2227-7390/11/4/906

4. “Auto-encoders in Deep Learning—A Review with New Perspectives”
by Shuangshuang Chen and Wei Guo
Mathematics 2023, 11(8), 1777; https://doi.org/10.3390/math11081777
Full text available online: https://www.mdpi.com/2227-7390/11/8/1777

5. “A Survey on Evaluation Metrics for Machine Translation”
by Seungjun Lee, Jungseob Lee, Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, Seonmin Koo and Heuiseok Lim
Mathematics 2023, 11(4), 1006; https://doi.org/10.3390/math11041006
Full text available online: https://www.mdpi.com/2227-7390/11/4/1006

6. “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

7. “Equation-Based Modeling vs. Agent-Based Modeling with Applications to the Spread of COVID-19 Outbreak”
by Selain K. Kasereka, Glody N. Zohinga, Vogel M. Kiketa, Ruffin-Benoît M. Ngoie, Eddy K. Mputu, Nathanaël M. Kasoro and Kyamakya Kyandoghere
Mathematics 2023, 11(1), 253; https://doi.org/10.3390/math11010253
Full text available online: https://www.mdpi.com/2227-7390/11/1/253

8. “GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting”
by Wenguang Chai, Yuexin Zheng, Lin Tian, Jing Qin and Teng Zhou
Mathematics 2023, 11(16), 3574; https://doi.org/10.3390/math11163574
Full text available online: https://www.mdpi.com/2227-7390/11/16/3574

9. “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

10. “Embedding Uncertain Temporal Knowledge Graphs”
by Tongxin Li, Weiping Wang, Xiaobo Li, Tao Wang, Xin Zhou and Meigen Huang
Mathematics 2023, 11(3), 775; https://doi.org/10.3390/math11030775
Full text available online: https://www.mdpi.com/2227-7390/11/3/775