Get started
Author

Abbas Abbaszadeh Shahri

Observed names: A. Abbaszadeh Shahri, ABBAS ABBASZADEH SHAHRI, Abbas Abasszadeh Shahri, Abbas Abbaszadeh SHAHRI, Abbas Abbaszadeh shahri, Abbaszadeh Shahri Abbas, Abbaszadeh Shahri, Abbas, Hossein Abbaszadeh Shahri, Shahri, Abbas Abbaszadeh
Observed institutions: Islamic Azad University, Tehran, Texas Tech University, Uppsala University, Islamic Azad University Roudehen Branch, Islamic Azad University, Science and Research Branch, Bircham International University, Islamic Azad University of Hamedan, Tyréns (Sweden), KTH Royal Institute of Technology
ORCID: 0000-0002-3832-572X
Observed ORCID: 0000-0002-3832-572X
OpenAlex ID: A5031191389
Landslide susceptibility hazard map in southwest Sweden using artificial neural network
2019 · Abbas Abbaszadeh Shahri, Johan Spross, et al. · CATENA · 225
Updating the neural network sediment load models using different sensitivity analysis methods: a regional application
2020 · Reza Asheghi, Seyed Abbas Hosseini, et al. · Journal of Hydroinformatics · 194
PDF
A Novel Approach to Uncertainty Quantification in Groundwater Table Modeling by Automated Predictive Deep Learning
2022 · Abbas Abbaszadeh Shahri, Chunling Shan, et al. · Natural Resources Research · 183
PDF
A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis
2023 · Abbas Abbaszadeh Shahri, Shan Chunling, et al. · Engineering With Computers · 119
PDF
An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu)
2018 · Abdolvahed Ghaderi, Abbas Abbaszadeh Shahri, et al. · Bulletin of Engineering Geology and the Environment · 115
PDF
A visualized hybrid intelligent model to delineate Swedish fine-grained soil layers using clay sensitivity
2022 · Abdolvahed Ghaderi, Abbas Abbaszadeh Shahri, et al. · CATENA · 96
Normalizing Large Scale Sensor-Based MWD Data: An Automated Method toward A Unified Database
2024 · Abbas Abbaszadeh Shahri, Chunling Shan, et al. · Sensors · 87
PDF
Landslide susceptibility mapping using hybridized block modular intelligence model
2020 · Abbas Abbaszadeh Shahri, Fardad Maghsoudi Moud · Bulletin of Engineering Geology and the Environment · 87
PDF
Prediction of Uniaxial Compressive Strength of Different Quarried Rocks Using Metaheuristic Algorithm
2019 · Reza Asheghi, Abbas Abbaszadeh Shahri, et al. · Arabian Journal for Science and Engineering · 71
Automated intelligent hybrid computing schemes to predict blasting induced ground vibration
2021 · Abbas Abbaszadeh Shahri, Fardin Pashamohammadi, et al. · Engineering With Computers · 65
Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure: A case study in Sweden
2021 · Abbas Abbaszadeh Shahri, Chunling Shan, et al. · Journal of Rock Mechanics and Geotechnical Engineering · 64
PDF
Soil classification analysis based on piezocone penetration test data — A case study from a quick-clay landslide site in southwestern Sweden
2015 · Abbas Abbaszadeh Shahri, Alireza Malehmir, et al. · Engineering Geology · 64
Prediction of bedload transport rate using a block combined network structure
2021 · Seyed Abbas Hosseini, Abbas Abbaszadeh Shahri, et al. · Hydrological Sciences Journal · 63
Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study
2016 · Abbas Abbaszadeh Shahri · Geotechnical and Geological Engineering · 62
A hybrid computing model to predict rock strength index properties using support vector regression
2020 · Abbas Abbaszadeh Shahri, Fardad Maghsoudi Moud, et al. · Engineering With Computers · 59
PDF
Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test
2016 · Abbas Abbaszadeh Shahri, Stefan Larsson, et al. · Innovative Infrastructure Solutions · 57
PDF
Artificial intelligence models to generate visualized bedrock level: a case study in Sweden
2020 · Abbas Abbaszadeh Shahri, Stefan Larsson, et al. · Modeling Earth Systems and Environment · 56
Optimized developed artificial neural network-based models to predict the blast-induced ground vibration
2018 · Abbas Abbaszadeh Shahri, Reza Asheghi · Innovative Infrastructure Solutions · 56
An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden
2016 · Abbas Abbaszadeh Shahri · Geotechnical and Geological Engineering · 52
A modified firefly algorithm applying on multi-objective radial-based function for blasting
2021 · Abbas Abbaszadeh Shahri, Mohammad Khorsand Zak, et al. · Neural Computing and Applications · 51
Subsurface Topographic Modeling Using Geospatial and Data Driven Algorithm
2021 · Abbas Abbaszadeh Shahri, Ali Kheiri, et al. · ISPRS International Journal of Geo-Information · 46
PDF
A hybridized intelligence model to improve the predictability level of strength index parameters of rocks
2020 · Abbas Abbaszadeh Shahri, Reza Asheghi, et al. · Neural Computing and Applications · 40
A novel modified bat algorithm to improve the spatial geothermal mapping using discrete geodata in Catalonia-Spain
2024 · Seyed Poorya Mirfallah Lialestani, David Parcerisa, et al. · Modeling Earth Systems and Environment · 34
PDF
Frequency content analysis of the probable earthquake in Kopet Dagh region—Northeast of Iran
2014 · Reza Esmaeilabadi, Abbas Abasszadeh Shahri, et al. · Arabian Journal of Geosciences · 31
Generating 3D Geothermal Maps in Catalonia, Spain Using a Hybrid Adaptive Multitask Deep Learning Procedure
2022 · Seyed Mirfallah Lialestani, David Parcerisa, et al. · Energies · 27
Works count: 81
Citation count: 2,320
H-index: 27
I10-index: 37
Year
Topic
Type