A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping
H Moayedi, AA Dehrashid - Environmental Science and Pollution …, 2023 - Springer
In this research, to predict landslide susceptibility mapping (LSM), we have studied and
optimized an artificial neural network (ANN) by utilizing the backtracking search algorithm …
optimized an artificial neural network (ANN) by utilizing the backtracking search algorithm …
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility mapping in the west of Iran
Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and mapping landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility mapping
Y Sun, H Dai, L Xu, A Asaditaleshi… - Environment …, 2023 - Springer
The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes
H Moayedi, A Ahmadi Dehrashid… - … of Computational Fluid …, 2024 - Taylor & Francis
This research aims to forecast, using various criteria, the flow of soil erosion that will occur at
a particular geographical location. As for the training dataset, 80% of the dataset from the …
a particular geographical location. As for the training dataset, 80% of the dataset from the …
Computational intelligence models for predicting the frictional resistance of driven pile foundations in cold regions
S Chen, H Zhang, KI Zykova, HG Touchaei… - Computers and …, 2023 - koreascience.kr
Numerous studies have been performed on the behavior of pile foundations in cold regions.
This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing …
This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing …
A new procedure for optimizing neural network using stochastic algorithms in predicting and assessing landslide risk in East Azerbaijan
A Ahmadi Dehrashid, H Dong, M Fatahizadeh… - … Research and Risk …, 2024 - Springer
This study utilized artificial neural network (ANN) optimization techniques including
biography-based optimization (BBO), earthworm optimization (EWA), shuffled complex …
biography-based optimization (BBO), earthworm optimization (EWA), shuffled complex …
Approximating heat loss in smart buildings through large scale experimental and computational intelligence solutions
The attainment of energy sustainability in the building sector can be realised by
implementing a green building programme, which has grown significantly over the last thirty …
implementing a green building programme, which has grown significantly over the last thirty …
A development in the approach of assessing the sensitivity of road networks to environmental hazards using functional machine learning algorithm and fractal …
H Nayyeri, L Xu, A Ahmadi Dehrashid… - Environment …, 2023 - Springer
Natural hazards are considered one of the greatest challenges today. Preventing
transformation processes that lead to risk and then, crisis need a structural-strategic …
transformation processes that lead to risk and then, crisis need a structural-strategic …
Future climate-driven drought events across Lake Urmia, Iran
B Shirmohammadi, M Rostami, S Varamesh… - Environmental …, 2024 - Springer
Climate change has increased the vulnerability of arid and semi-arid regions to recurrent
and prolonged meteorological droughts. In light of this, our study has sought to assess the …
and prolonged meteorological droughts. In light of this, our study has sought to assess the …
Integrating Support Vector Machines with Different Ensemble Learners for Improving Streamflow Simulation in an Ungauged Watershed
Streamflow simulation, particularly in ungauged watersheds, poses a significant challenge
in surface water hydrology. The estimation of natural river and streamflow has been a …
in surface water hydrology. The estimation of natural river and streamflow has been a …