A Comprehensive Survey of SSA-LSTM Models: Signal Decomposition Techniques, Algorithmic Advances, Practical Applications, and Future Directions

Archives of Computational Methods in Engineering 2026

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Authors: Mehdi Hosseinzadeh, D W Andriani, Amir Masoud Rahmani, Farhad Soleimanian Gharehchopogh, Nazanin Rahimi, Adnan Khan, Aso Darwesh, Parisa Khoshvaght, Sadia Din, Thantrira Porntaveetus
DOI: 10.1007/s11831-026-10510-0
Cited by: 2
References: 228

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Energy Load and Power Forecasting Machine Learning and ELM

Publication details

Journal / source
Archives of Computational Methods in Engineering
Publisher
Springer Science and Business Media LLC
Volume
33
Issue
6
Pages
8035–8071
Publication date
26 February 2026
Language
EN