Danial Jahed Armaghani

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

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

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

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization