[1] Cabral, R., Santos, R., Correia, J., & Ribeiro, D. (2025). Optimizing Railway Bridge 3D Reconstruction with LiDAR and UAV Photogrammetry via Image Segmentation and Heuristic Algorithm. Structure and Infrastructure Engineering. DOI: 10.1080/15732479.2025.2531562.
[2] Ames, I., Beck, A., Ribeiro, D., & Bittencourt, T. (2025). Risk-based optimization of inspection strategies for the life cycle management of bridges subjected to damage accumulation and stochastic load effects. Structure and Infrastructure Engineering. DOI: 10.1080/15732479.2025.2529474.
[3] Fernandes, T., Lopez, R., Miguel, L., & Ribeiro, D. (2025). Early multi-damage classification in railway bridges using drive-by numerical measurements with Piecewise Aggregate Approximation and Convolutional Neural Networks. International Journal of Structural Stability and Dynamics. DOI: 10.1142/S0219455426503165.
[4] Magalhães, J., Jorge, T., Guedes, A., Silva, R., Meixedo, A., & Ribeiro, D. (2025). Machine learning methodology based on relative wavelet energy for identification of multiple out-of-round railway wheels. Proceedings of the IMechE, Part F: Journal of Rail and Rapid Transit. DOI: 10.1177/09544097251338429.
[5] Ribeiro, D., Rakoczy, A.M., Cabral, R., Hoskere, V., Narazaki, Y., Santos, R., Tondo, G., Gonzalez, L., Campos Matos, J., Futai, M.M., Guo, Y., Trias, A., Tinoco, J., Samec, V., Minh, T.Q., Moreu, F., Popescu, C., Mirzazade, A., Jorge, T., Magalhães, J., Schmidt, F., Ventura, J., & Fonseca, J. (2025). Methodologies for Remote Bridge Inspection — Review. Sensors, 25(18), 5708. DOI: 10.3390/s25185708.
[1] Jorge, T., Ribeiro, D., Reis, J., Gavina, R., Donkers, A., Petrova, E., Canito, A., Driesen, C., & Marreiros, G. (2025). A Hybrid BERT–LLM Approach for Regulation Graph Generation & Visualization from Fire Safety Documents. Digital Building Permit Conference 2025, Vienna, Austria.
[2] Silva, A., Meixedo, A., Montenegro, P., & Ribeiro, D. (2025). A Data-Driven Methodology for Damage Detection in a Short-Span Filler-Beam Railway Bridge. Civil Comp, Italy.
[3] Fernandes, T., Lopez, R., Fadel, L., & Ribeiro, D. (2025). Uncertainty quantification in drive-by damage detection of railway bridges using deep autoencoders. COBEM 2025 – 28th International Congress of Mechanical Engineering, Brazil.
[4] Cabral, R., Hoskere, V., Santos, R., & Ribeiro, D. (2025). Geometric Digital Twin Creation in Railway Bridges using Deep Learning Based Keypoint Detection. EMI 2025 – Engineering Mechanics Institute Conference, Anaheim, USA.
[5] Bragança, C., Souza, E., Ribeiro, D., & Bittencourt, T. (2025). AI-Driven Unsupervised Damage Detection on Warren Truss Railway Bridges Using Drive-By Monitoring. IALCCE 2025, Melbourne, Australia.
[6] Oliveira, P., Jorge, T., Magalhães, J., Ventura, J., Ribeiro, D., Santos, R., & Cabral, R. (2025). Multi Damage Identification in Large-Scale Industrial Buildings based on Deep Learning and Unmanned Aerial Vehicles. IALCCE 2025, Melbourne, Australia.
[7] Cabral, R., Santos, R., Oliveira, P., Moreira, O., & Ribeiro, D. (2025). Enhanced Reality Model of Railway Bridges Through Machine Learning and Multi-Source Point Cloud. IALCCE 2025, Melbourne, Australia.
[8] Guedes, A., Silva, R., Ribeiro, D., & Vale, C. (2025). A learning methodology for damage identification of railway tracks using an in-service freight vehicle and a virtual on-board system. EVACES’25, Porto, Portugal.
[9] Melo, R., Neto, M., Finotti, R., Barbosa, F., Cury, A., Meixedo, A., & Ribeiro, D. (2025). Structural integrity of railways using deep learning applied to onboard vibration measurements. EVACES’25, Porto, Portugal.
[10] Rakoczy, A., Ribeiro, D., Hoskere, V., Narazaki, Y., & Trias, A. (2025). Newest Findings in Remote Inspection Technologies (RIT) for Bridge Structures. World Congress on Railway Research (WCRR), Colorado Springs, USA.
[11] Bragança, C., Silva, R., Souza, E., Ribeiro, D., & Carvalho, H., Bittencourt, T. (2025). Unsupervised ML techniques for detecting imbalances in freight railway vehicles. 13th International Heavy Haul Association Conference (IHHA 2025), Colorado Springs, USA.
[1] Lima, L., Lima, M., Carvalho, V., Ribeiro, D., & Ventura, J. (2025). Check Metallic: An innovative solution for automated geometric control in the assembly of metal structures. CMM 2025 – XV Congresso de Construção Metálica e Mista, Porto, Portugal.
[2] Ribeiro, D., Pinto, J.R., Lello, J.C., Faria, J.P., & Santos, R. (2025). Postgraduate in Precast Concrete at ISEP. ANIPB 2025 – Congresso Nacional em Prefabricação de Betão, Coimbra, Portugal.
[3] Ribeiro, I., Bragança, C., Meixedo, A., Ribeiro, D., Silva, M., Brasil, A., & Bittencourt, T. (2025). Transformer Architecture Applied to Bridge Anomaly Detection. CBPE 2025, Rio de Janeiro, Brazil.
[4] Andrade, F., & Ribeiro, D. (2025). BIM Methodology Applied to Inspections. (Submitted).
[5] Andrade, F., Ribeiro, C., Santos, R., Oliveira, R., & Ribeiro, D. (2025). BIM Strategy for the Digital Integration of Laboratory Data. (Submitted).
[6] Jorge, T., Ribeiro, D., Silva, R., & Mosleh, A. (2025). Defect Identification in Freight Railway Vehicles Based on a Wayside System and Using an Autoencoder. (Submitted).
[7] Oliveira, P., Santos, R., & Ribeiro, D. (2025). Mapping Anomalies in the Exterior Envelope of Industrial Buildings Based on Photogrammetric 3D Models. (Submitted).
[8] Soares, E., Ribeiro, D., & Gavina, R. (2025). Development of a BIM Library of Steel Connections. (Submitted).
[9] Ventura, J., Ribeiro, D., Santos, R., & Oliveira, R. (2025). Precision Geometric Control in the Assembly of Steel Structures Using Digital Technologies. (Submitted).