Machine learning in flight parameter-based structural load prediction: A review and framework proposal

2025/11/01 by Lei Huang, Yinghui Zuo, Cong Guo +2

paper · doi:10.1016/j.paerosci.2025.101145

crossref created 2025/10/15 · crossref issued 2025/11/01 · crossref published 2025/11/01 · crossref published-print 2025/11/01 · crossref deposited 2025/12/01 · crossref indexed 2026/08/07

Citations

• A Perspective on the State of Aerospace Computational Fluid Dynamics Technology
• K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
• When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
• Machine learning in aerodynamic shape optimization
• Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
• Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
• A Comparative study of Hyper-Parameter Optimization Tools
• Physics-informed machine learning
• Deep Learning for Anomaly Detection: A Review
• A Comprehensive Survey on Transfer Learning
• A Comprehensive Survey on Transfer Learning
• Optuna: A Next-generation Hyperparameter Optimization Framework
• 1D Convolutional Neural Networks and Applications: A Survey
• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• DBSCAN Revisited, Revisited
• Attention Is All You Need
• Overcoming catastrophic forgetting in neural networks
• Temporal Convolutional Networks for Action Segmentation and Detection
• Learning without Forgetting
• Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
• XGBoost: A Scalable Tree Boosting System
• Feature Selection: A Data Perspective
• Non-stochastic Best Arm Identification and Hyperparameter Optimization
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
• Scikit-learn: Machine Learning in Python
• Adaptive Affinity Propagation Clustering
• Greedy function approximation: A gradient boosting machine.
• Long Short-Term Memory
• A desicion-theoretic generalization of on-line learning and an application to boosting
• The perceptron: A probabilistic model for information storage and organization in the brain.
• LIII. On lines and planes of closest fit to systems of points in space
• Gradient-based learning applied to document recognition
• VII. Mathematical contributions to the theory of evolution.—III. Regression, heredity, and panmixia