2023 - Research.com Rising Star of Science Award
2022 - Research.com Rising Star of Science Award
His study looks at the relationship between Stress (linguistics) and topics such as Linguistics, which overlap with Feature (linguistics). His Feature (linguistics) study frequently links to other fields, such as Linguistics. His work focuses on many connections between Landslide and other disciplines, such as Geotechnical engineering, that overlap with his field of interest in Pile, Load testing and Bearing capacity. His work in Pile is not limited to one particular discipline; it also encompasses Geotechnical engineering. He integrates Structural engineering and Forensic engineering in his studies. He performs multidisciplinary studies into Forensic engineering and Structural engineering in his work. His research on Artificial intelligence frequently links to adjacent areas such as Pattern recognition (psychology). His Pattern recognition (psychology) study frequently links to other fields, such as Artificial intelligence. Many of his studies on Data mining involve topics that are commonly interrelated, such as Measure (data warehouse).
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
Hossein Moayedi;Mohammad Mehrabi;Mansour Mosallanezhad;Ahmad Safuan A. Rashid.
Engineering With Computers (2019)
Green synthesis using cherry and orange juice and characterization of TbFeO3 ceramic nanostructures and their application as photocatalysts under UV light for removal of organic dyes in water
Pourya Mehdizadeh;Yasin Orooji;Omid Amiri;Masoud Salavati-Niasari.
Journal of Cleaner Production (2020)
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
Dong Van Dao;Abolfazl Jaafari;Mahmoud Bayat;Davood Mafi-Gholami.
Catena (2020)
Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
Hossein Moayedi;Sajad Hayati.
Applied Soft Computing (2018)
Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings
Guofeng Zhou;Hossein Moayedi;Mehdi Bahiraei;Zongjie Lyu.
Journal of Cleaner Production (2020)
Hydrothermal synthesis of DyMn2O5/Ba3Mn2O8 nanocomposite as a potential hydrogen storage material
Seyede Raheleh Yousefi;Maryam Masjedi-Arani;Maryam Sadat Morassaei;Masoud Salavati-Niasari.
International Journal of Hydrogen Energy (2019)
Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
Hossein Moayedi;Danial Jahed Armaghani.
Engineering With Computers (2018)
An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand
Hossein Moayedi;Abbas Rezaei.
Neural Computing and Applications (2019)
Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost
Xiliang Zhang;Hoang Nguyen;Xuan-Nam Bui;Quang-Hieu Tran.
Natural resources research (2020)
Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile
Hossein Moayedi;Sajad Hayati.
International Journal of Geomechanics (2018)
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