Panagiotis G. Asteris
Orcid: 0000-0002-7142-4981
According to our database1,
Panagiotis G. Asteris
authored at least 27 papers
between 2016 and 2024.
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Bibliography
2024
AI-powered GUI for prediction of axial compression capacity in concrete-filled steel tube columns.
Neural Comput. Appl., December, 2024
Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels.
Eng. Appl. Artif. Intell., 2024
2023
Soft computing technics to predict the early-age compressive strength of flowable ordinary Portland cement.
Soft Comput., March, 2023
2022
A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index.
Neural Comput. Appl., 2022
Improved Levenberg-Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams.
Eng. Comput., 2022
A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm.
Eng. Comput., 2022
Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques.
Eng. Comput., 2022
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm.
Eng. Comput., 2022
2021
A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass.
Soft Comput., 2021
Soft Comput., 2021
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models.
Neural Comput. Appl., 2021
TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm.
Neural Comput. Appl., 2021
Prediction of cement-based mortars compressive strength using machine learning techniques.
Neural Comput. Appl., 2021
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength.
Neural Comput. Appl., 2021
Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases.
Inf., 2021
Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns.
Eng. Comput., 2021
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model.
Eng. Comput., 2021
IEEE Access, 2021
2020
Neural Comput. Appl., 2020
A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams.
Appl. Soft Comput., 2020
2019
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures.
Neural Comput. Appl., 2019
Neural Comput. Appl., 2019
2018
Proceedings of the Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage, 2018
Proceedings of the Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage, 2018
2017
Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials.
Sensors, 2017
Neural Comput. Appl., 2017
2016
Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks.
Comput. Intell. Neurosci., 2016