Panagiotis G. Asteris

According to our database, Panagiotis G. Asteris authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels.

Abidhan Bardhan, Nazli Tunar Ozcan, Panagiotis G. Asteris, Candan Gokceoglu

Eng. Appl. Artif. Intell., 2024

2023

Soft computing technics to predict the early-age compressive strength of flowable ordinary Portland cement.

Wael Mahmood, Ahmed Salih Mohammed, Panagiotis G. Asteris, Hawreen Ahmed

Soft Comput., March, 2023

2022

A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index.

Maryam Parsajoo, Danial Jahed Armaghani, Panagiotis G. Asteris

Neural Comput. Appl., 2022

Improved Levenberg-Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams.

Jue Zhao, Hoang Nguyen, Trung Nguyen-Thoi, Panagiotis G. Asteris, Jian Zhou

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.

Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, Biswajeet Pradhan, Panagiotis G. Asteris, Romulus Costache, Jagannath Aryal

Eng. Comput., 2022

Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques.

Tien-Thinh Le, Panagiotis G. Asteris, Minas E. Lemonis

Eng. Comput., 2022

A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm.

Jiandong Huang, Panagiotis G. Asteris, Siavash Manafi Khajeh Pasha, Ahmed Salih Mohammed, Mahdi Hasanipanah

Eng. Comput., 2022

2021

A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass.

Zimu Li, Behnam Yazdani Bejarbaneh, Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Mahmood M. D. Tahir

Soft Comput., 2021

Surrogate models for the compressive strength mapping of cement mortar materials.

Panagiotis G. Asteris, Liborio Cavaleri, Hai-Bang Ly, Binh Thai Pham

Soft Comput., 2021

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models.

Hai-Bang Ly, Binh Thai Pham, Lu Minh Le, Tien-Thinh Le, Vuong Minh Le, Panagiotis G. Asteris

Neural Comput. Appl., 2021

TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm.

Hooman Harandizadeh, Danial Jahed Armaghani, Panagiotis G. Asteris, Amir H. Gandomi

Neural Comput. Appl., 2021

Prediction of cement-based mortars compressive strength using machine learning techniques.

Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Evgenios A. Kotsonis, Paulo B. Lourenço

Neural Comput. Appl., 2021

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength.

Danial Jahed Armaghani, Panagiotis G. Asteris

Neural Comput. Appl., 2021

Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases.

Iman Rahimi, Amir H. Gandomi, Panagiotis G. Asteris, Fang Chen

Inf., 2021

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns.

Payam Sarir, Jun Chen, Panagiotis G. Asteris, Danial Jahed Armaghani, Mahmood M. D. Tahir

Eng. Comput., 2021

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model.

Jin Duan, Panagiotis G. Asteris, Hoang Nguyen, Xuan-Nam Bui, Hossein Moayedi

Eng. Comput., 2021

Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models.

Bo Ke, Manoj Khandelwal, Panagiotis G. Asteris, Athanasia D. Skentou, Anna Mamou, Danial Jahed Armaghani

IEEE Access, 2021

2020

Concrete compressive strength using artificial neural networks.

Panagiotis G. Asteris, Vaseilios G. Mokos

Neural Comput. Appl., 2020

A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams.

Chun Bai, Hoang Nguyen, Panagiotis G. Asteris, Trung Nguyen-Thoi, Jian Zhou

Appl. Soft Comput., 2020

2019

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures.

Panagiotis G. Asteris, Mehdi Nikoo

Neural Comput. Appl., 2019

Self-compacting concrete strength prediction using surrogate models.

Panagiotis G. Asteris, Konstantinos G. Kolovos

Neural Comput. Appl., 2019

2018

Assessment of Masonry Structures Based on Analytical Damage Indices.

Athanasia D. Skentou, Maria G. Douvika, Ioannis Argyropoulos, Maria Apostolopoulou, Antonia I. Moropoulou, Panagiotis G. Asteris

Proceedings of the Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage, 2018

Masonry Compressive Strength Prediction Using Artificial Neural Networks.

Panagiotis G. Asteris, Ioannis Argyropoulos, Liborio Cavaleri, Hugo Rodrigues, Humberto Varum, Job Thomas, Paulo B. Lourenço

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.

Panagiotis G. Asteris, Panayiotis C. Roussis, Maria G. Douvika

Sensors, 2017

Anisotropic masonry failure criterion using artificial neural networks.

Panagiotis G. Asteris, Vagelis Plevris

Neural Comput. Appl., 2017

2016

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks.

Panagiotis G. Asteris, Athanasios K. Tsaris, Liborio Cavaleri, Constantinos C. Repapis, Angeliki Papalou, Fabio Di Trapani, Dimitrios F. Karypidis

Comput. Intell. Neurosci., 2016