Panagiotis G. Asteris

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Machine Learning

Optimization Algorithm

Bayes Classifiers

Reinforced Concrete

Top Venues

Neural Comput. Appl.

Comput. Intell. Neurosci.

Publications

Abidhan Bardhan, Nazli Tunar Ozcan, Panagiotis G. Asteris, Candan Gokceoglu
Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels. Eng. Appl. Artif. Intell. 136 (2024)
Wael Mahmood, Ahmed Salih Mohammed, Panagiotis G. Asteris, Hawreen Ahmed
Soft computing technics to predict the early-age compressive strength of flowable ordinary Portland cement. Soft Comput. 27 (6) (2023)
Jiandong Huang, Panagiotis G. Asteris, Siavash Manafi Khajeh Pasha, Ahmed Salih Mohammed, Mahdi Hasanipanah
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm. Eng. Comput. 38 (3) (2022)
Tien-Thinh Le, Panagiotis G. Asteris, Minas E. Lemonis
Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques. Eng. Comput. 38 (4) (2022)
Jue Zhao, Hoang Nguyen, Trung Nguyen-Thoi, Panagiotis G. Asteris, Jian Zhou
Improved Levenberg-Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams. Eng. Comput. 38 (5) (2022)
Maryam Parsajoo, Danial Jahed Armaghani, Panagiotis G. Asteris
A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index. Neural Comput. Appl. 34 (4) (2022)
Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, Biswajeet Pradhan, Panagiotis G. Asteris, Romulus Costache, Jagannath Aryal
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. 38 (5) (2022)
Hai-Bang Ly, Binh Thai Pham, Lu Minh Le, Tien-Thinh Le, Vuong Minh Le, Panagiotis G. Asteris
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models. Neural Comput. Appl. 33 (8) (2021)
Iman Rahimi, Amir H. Gandomi, Panagiotis G. Asteris, Fang Chen
Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases. Inf. 12 (3) (2021)
Jin Duan, Panagiotis G. Asteris, Hoang Nguyen, Xuan-Nam Bui, Hossein Moayedi
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model. Eng. Comput. 37 (4) (2021)
Zimu Li, Behnam Yazdani Bejarbaneh, Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Mahmood M. D. Tahir
A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass. Soft Comput. 25 (17) (2021)
Hooman Harandizadeh, Danial Jahed Armaghani, Panagiotis G. Asteris, Amir H. Gandomi
TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm. Neural Comput. Appl. 33 (23) (2021)
Danial Jahed Armaghani, Panagiotis G. Asteris
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength. Neural Comput. Appl. 33 (9) (2021)
Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Evgenios A. Kotsonis, Paulo B. Lourenço
Prediction of cement-based mortars compressive strength using machine learning techniques. Neural Comput. Appl. 33 (19) (2021)
Bo Ke, Manoj Khandelwal, Panagiotis G. Asteris, Athanasia D. Skentou, Anna Mamou, Danial Jahed Armaghani
Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models. IEEE Access 9 (2021)
Payam Sarir, Jun Chen, Panagiotis G. Asteris, Danial Jahed Armaghani, Mahmood M. D. Tahir
Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns. Eng. Comput. 37 (1) (2021)
Panagiotis G. Asteris, Liborio Cavaleri, Hai-Bang Ly, Binh Thai Pham
Surrogate models for the compressive strength mapping of cement mortar materials. Soft Comput. 25 (8) (2021)
Panagiotis G. Asteris, Vaseilios G. Mokos
Concrete compressive strength using artificial neural networks. Neural Comput. Appl. 32 (15) (2020)
Chun Bai, Hoang Nguyen, Panagiotis G. Asteris, Trung Nguyen-Thoi, Jian Zhou
A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams. Appl. Soft Comput. 97 (Part B) (2020)
Panagiotis G. Asteris, Konstantinos G. Kolovos
Self-compacting concrete strength prediction using surrogate models. Neural Comput. Appl. 31 (S-1) (2019)
Panagiotis G. Asteris, Mehdi Nikoo
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures. Neural Comput. Appl. 31 (9) (2019)
Athanasia D. Skentou, Maria G. Douvika, Ioannis Argyropoulos, Maria Apostolopoulou, Antonia I. Moropoulou, Panagiotis G. Asteris
Assessment of Masonry Structures Based on Analytical Damage Indices. TMM_CH (1) (2018)
Panagiotis G. Asteris, Ioannis Argyropoulos, Liborio Cavaleri, Hugo Rodrigues, Humberto Varum, Job Thomas, Paulo B. Lourenço
Masonry Compressive Strength Prediction Using Artificial Neural Networks. TMM_CH (2) (2018)
Panagiotis G. Asteris, Vagelis Plevris
Anisotropic masonry failure criterion using artificial neural networks. Neural Comput. Appl. 28 (8) (2017)
Panagiotis G. Asteris, Panayiotis C. Roussis, Maria G. Douvika
Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials. Sensors 17 (6) (2017)
Panagiotis G. Asteris, Athanasios K. Tsaris, Liborio Cavaleri, Constantinos C. Repapis, Angeliki Papalou, Fabio Di Trapani, Dimitrios F. Karypidis
Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks. Comput. Intell. Neurosci. 2016 (2016)