Optimized quantum LSTM using modified electric Eel foraging optimization for real-world intelligence engineering systems-Reference-Cited by-同舟云学术

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Optimized quantum LSTM using modified electric Eel foraging optimization for real-world intelligence engineering systems

Published:2024-08 Issue: Volume: Page:102982
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Al-qaness Mohammed A.A.^ORCID,Abd Elaziz Mohamed,Dahou Abdelghani^ORCID,Ewees Ahmed A.,Al-Betar Mohammed Azmi,Shrahili Mansour,Ibrahim Rehab Ali

Funder

King Saud University

Publisher

Elsevier BV

Reference54 articles.

1. Advanced engineering informatics-philosophical and methodological foundations with examples from civil and construction engineering;Hartmann;Develop Built Environ,2020

2. Comparison of machine learning models to provide preliminary forecasts of real estate prices;Chou;J Housing Built Environ,2022

3. Identifying deflections of reinforced concrete beams under seismic loads by bio-inspired optimization of deep residual learning;Chou;Struct Control Health Monit,2022

4. Bio-inspired optimization of weighted-feature machine learning for strength property prediction of fiber-reinforced soil;Chou;Expert Syst Appl,2021

5. Efficient meta-heuristic mesh adaptation strategies for nurbs upper–bound limit analysis of curved three-dimensional masonry structures;Grillanda;Comput Struct,2020

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