Mohammad Amin Hariri-Ardebili
Orcid: 0000-0001-6772-1468
According to our database1,
Mohammad Amin Hariri-Ardebili
authored at least 21 papers
between 2020 and 2024.
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Bibliography
2024
Utilization of stochastic ground motion simulations for scenario-based performance assessment of geo-structures.
Reliab. Eng. Syst. Saf., 2024
Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics.
Big Data, 2024
An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design.
Appl. Soft Comput., 2024
Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction.
IEEE Access, 2024
2023
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook.
Eng. Appl. Artif. Intell., November, 2023
A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams.
Adv. Eng. Informatics, January, 2023
Eng. Appl. Artif. Intell., 2023
Proceedings of the 9th International Conference on Control, 2023
2022
Reliab. Eng. Syst. Saf., 2022
Expert Syst. Appl., 2022
Adv. Eng. Informatics, 2022
2021
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022.
Big Data, 2021
Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods.
Appl. Soft Comput., 2021
Neural Networks and Imbalanced Learning for Data-Driven Scientific Computing With Uncertainties.
IEEE Access, 2021
Kernel Matrix Approximation on Class-Imbalanced Data With an Application to Scientific Simulation.
IEEE Access, 2021
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems.
Soft Comput., 2020
Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors.
Sensors, 2020
Safety and reliability assessment of heterogeneous concrete components in nuclear structures.
Reliab. Eng. Syst. Saf., 2020
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020