Citation: J. F. Torres, M. Martinez-Ballesteros, A. Troncoso, F. Martinez-Alvarez. Advances in time series forecasting: innovative methods and applications[J]. AIMS Mathematics, 2024, 9(9): 24163-24165. doi: 10.3934/math.20241174
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[2] | F. Divina, M. Garcia-Torres, F. Gomez-Vela, D. S. Rodriguez-Baena, A stacking ensemble learning for Iberian pigs activity prediction: a time series forecasting approach, AIMS Math., 9 (2024), 13358–13384. https://doi.org/10.3934/math.2024652 doi: 10.3934/math.2024652 |
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[5] | D. Li, M. Qiu, Z. Luo, Huizhou resident population, Guangdong resident population and elderly population forecast based on the NAR neural network Markov model, AIMS Math., 9(2024), 3235–3252. https://doi.org/10.3934/math.2024157 doi: 10.3934/math.2024157 |
[6] | X. Chen, H. Zhan, C. U. I. Wong, Optimization study of tourism total revenue prediction model based on the Grey Markov chain: a case study of Macau, AIMS Math., 9 (2024), 16187–16202. https://doi.org/10.3934/math.2024783 doi: 10.3934/math.2024783 |
[7] | N. Alrashidi, M. Alrashidi, S. Mejahed, A. A. Eltahawi, Predicting hospital disposition for trauma patients: application of data-driven machine learning algorithms, AIMS Math., 9 (2024), 7751–7769. https://doi.org/10.3934/math.2024376 doi: 10.3934/math.2024376 |
[8] | R. Chu, P. Jin, H. Qiao, Q. Feng, Intrusion detection in the IoT data streams using concept drift localization, AIMS Math., 9 (2024), 1535–1561. https://doi.org/10.3934/math.2024076 doi: 10.3934/math.2024076 |
[9] | E. S. Aly, A. M. Mahnashi, A. A. Zaagan, I. Ibedou, A. I. Saied, W. W. Mohammed, N-dimension for dynamic generalized inequalities of Holder and Minkowski type on diamond alpha time scales, AIMS Math., 9 (2024), 9329–9347. https://doi.org/10.3934/math.2024454 doi: 10.3934/math.2024454 |