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.
An efficient kernel learning-based constitutive model for cyclic plasticity in nonlinear finite element analysis Journal Article
In: Computer Methods in Applied Mechanics and Engineering, vol. 436, 2025, (Cited by: 0).
A hybrid machine learning approach for predicting fiber-reinforced polymer-concrete interface bond strength Journal Article
In: Engineering Applications of Artificial Intelligence, vol. 148, 2025, (Cited by: 0).
A deep neural network approach to predict dimensional accuracy of thin-walled tubes in backward flow forming plasticity process Journal Article
In: Journal of Manufacturing Processes, vol. 141, pp. 59 – 80, 2025, (Cited by: 0).
A cGAN-based fatigue life prediction of 316 austenitic stainless steel in high-temperature and high-pressure water environments Journal Article
In: International Journal of Fatigue, vol. 190, 2025, (Cited by: 2).
In: Canadian Metallurgical Quarterly, vol. 64, no. 2, pp. 786 – 792, 2025.
Damage detection in steel beams using natural frequency analysis and machine learning techniques Journal Article
In: Journal of Strain Analysis for Engineering Design, 2025, (Cited by: 0).
Machine learning based prediction of compressive strength in roller compacted concrete: a comparative study with PDP analysis Journal Article
In: Asian Journal of Civil Engineering, 2025, (Cited by: 0).
Permeability measurement and prediction of pervious concrete pavements Book
2025, (Cited by: 0).
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey beyond 6G Journal Article
In: Proceedings of the IEEE, 2025, (Cited by: 0; All Open Access, Green Open Access).
In: Structural Concrete, 2025, (Cited by: 0).
Optimized machine learning models for predicting the tensile strength of high-performance concrete Journal Article
In: Journal of Structural Integrity and Maintenance, vol. 10, no. 1, 2025, (Cited by: 0).
Optimized supervised machine learning for accurate prediction of periods in Türkiye’s heritage minarets Journal Article
In: Bulletin of Earthquake Engineering, 2025, (Cited by: 0).
Identification of Earthquake Precursors origin and AI framework for automatic classification for one of these precursors Journal Article
In: IEEE Access, 2025, (Cited by: 0; All Open Access, Gold Open Access).
A Systematic Review: Development of AI Based Computer Vision Scrap Sorting System for Metal Scrap Conference
2025, (Cited by: 0).
Artificial intelligence-based displacement capacity prediction tool for three-dimensional printed concrete walls Journal Article
In: Structural Concrete, 2025, (Cited by: 0; All Open Access, Hybrid Gold Open Access).
Concrete Surface Defect Image Analysis Based on Novel Deep Learning Algorithm Conference
2025, (Cited by: 0).
Hybrid Intelligent Model for Predicting Corrosion Rate of Carbon Steel in CO2 Environments Journal Article
In: Materials and Corrosion, 2025, (Cited by: 0; All Open Access, Bronze Open Access).
Investigation of the compactability of pervious concrete and its impact on porosity and compressive strength Journal Article
In: International Journal of Pavement Engineering, vol. 26, no. 1, 2025, (Cited by: 0).
The Application of the Novel Kolmogorov–Arnold Networks for Predicting the Fundamental Period of RC Infilled Frame Structures Journal Article
In: International Journal of Mechanical System Dynamics, 2025, (Cited by: 0).
A reliable approach for classifying metakaolin content of high-Performance concrete via machine learning algorithm Journal Article
In: International Journal of Pavement Engineering, vol. 26, no. 1, 2025, (Cited by: 0).