Explore a curated selection of papers focusing on Machine Learning in Civil and Architectural Engineering. Discover how cutting-edge ML techniques are transforming the field, enhancing both design and structural resilience.
A Comparison of Parametric and Non-parametric Seismic Fragility Assessment for Mid-Rise RC Frames Considering Soil-Structure Interaction Effects Journal Article
In: Lecture Notes in Civil Engineering, vol. 550 LNCE, pp. 391 – 399, 2025, (Cited by: 0).
A Machine Learning Model for Predicting the Shear Resistance of RC Beams Strengthened with EBR-CFRP Systems Journal Article
In: Lecture Notes in Civil Engineering, vol. 573 LNCE, pp. 128 – 134, 2025, (Cited by: 0).
A deep learning model to identify the initial parameters of dissimilar welded joints under impact fracture Journal Article
In: Welding in the World, 2025, (Cited by: 0; All Open Access, Hybrid Gold Open Access).
A Comprehensive Systematic Review of AI-Driven Approaches to Self-Directed Learning Journal Article
In: IEEE Access, vol. 13, pp. 38387 – 38403, 2025, (Cited by: 0; All Open Access, Gold Open Access).
A Critical Review on AI Methods on Self Compacting Concrete Journal Article
In: Lecture Notes in Networks and Systems, vol. 1139, pp. 371 – 383, 2025, (Cited by: 0).
A conceptual approach to material detection based on damping vibration-force signals via robot Journal Article
In: Frontiers in Neurorobotics, vol. 19, 2025, (Cited by: 0; All Open Access, Gold Open Access).
A deep neural network model for parameter identification in deep drawing metal forming process Journal Article
In: Journal of Manufacturing Processes, vol. 133, pp. 380 – 394, 2025, (Cited by: 1).
A machine learning framework for seismic risk assessment of industrial equipment Journal Article
In: Reliability Engineering and System Safety, vol. 254, 2025, (Cited by: 3).
A Complex Concentrated Alloy with Record-High Strength-Toughness at 77 K Journal Article
In: Advanced Materials, vol. 37, no. 4, 2025, (Cited by: 1).
A machine learning approach for predicting the impact of normal fault ruptures on batter pile foundations Journal Article
In: Geomechanics and Engineering, vol. 40, no. 3, pp. 193 – 204, 2025, (Cited by: 0).
A comprehensive multiscale review of shaft furnace and reformer in direct reduction of iron oxide Journal Article
In: Minerals Engineering, vol. 222, 2025, (Cited by: 0).
A Deep-Learning P-Wave Arrival Picker for Laboratory Acoustic Emissions: Model Training and Its Performance Journal Article
In: Rock Mechanics and Rock Engineering, vol. 58, no. 3, pp. 3073 – 3091, 2025, (Cited by: 0).
A hybrid non-parametric ground motion model of power spectral density based on machine learning Journal Article
In: Computer-Aided Civil and Infrastructure Engineering, vol. 40, no. 4, pp. 483 – 502, 2025, (Cited by: 0; All Open Access, Hybrid Gold Open Access).
In: Asian Journal of Civil Engineering, vol. 26, no. 2, pp. 577 – 591, 2025, (Cited by: 1).
A data-driven approach to predicting multifactor-influenced flexural size effect and fracture behaviors of concrete Journal Article
In: Engineering Fracture Mechanics, vol. 315, 2025, (Cited by: 0).
A hybrid knowledge-guided and data-driven method for predicting low-alloy steels performance Journal Article
In: Computational Materials Science, vol. 249, 2025, (Cited by: 0).
A critical analysis of compressive strength prediction of glass fiber and carbon fiber reinforced concrete over machine learning models Journal Article
In: Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 8, no. 3, 2025, (Cited by: 1).
In: Structures, vol. 73, 2025, (Cited by: 0; All Open Access, Hybrid Gold Open Access).
A Glimpse into the Future of Civil Engineering Education: The New Era of Artificial Intelligence, Machine Learning, and Large Language Models Journal Article
In: Journal of Civil Engineering Education, vol. 151, no. 2, 2025, (Cited by: 0).
A geospatial model for site response complexity Journal Article
In: Soil Dynamics and Earthquake Engineering, vol. 192, 2025, (Cited by: 0).