Author

J. Matos

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Open access Sep 2026

Re-Engineering InSAR Kinematics via Local Markov Memory: A Scalable Machine Learning Framework for Corridor Slope Displacement Forecasting

Slope instabilities pose a significant threat to transportation infrastructure, creating the need for reliable data-driven approaches for displacement forecasting. This study proposes a scalable machine learning framework that integrates Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) displa...

D. Owusu-Ansah, Joaquim Tinoco, S. Davies et al. · Applied Sciences · 0 citations

Open access Jul 2026

A Hybrid CNN–LSTM Framework for Vibration-Based Multi-Damage Assessment in Reinforced Concrete Bridges

A hybrid one-dimensional convolutional neural network and long short-term memory framework for vibration-based damage localisation and severity estimation in reinforced concrete bridges and results support the use of the proposed framework for screening-level assessment of bridge damage under controlled simulated condi...

Nneka Emmanuella Nnamani, José C. Matos, Sayedmilad Komarizadehasl et al. · Applied Sciences · 0 citations