most citedSupervised Multi-Regional Segmentation Machine Learning Architecture for Digital Twin Applications in Coastal Regions

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

eess.IV2023★ 1 cited

Supervised Multi-Regional Segmentation Machine Learning Architecture for Digital Twin Applications in Coastal Regions

Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Mohammadsadegh Nouri +4

This study explores the use of a digital twin model and deep learning method to build a global terrain and altitude map based on USGS information. The goal is to artistically repre…

cs.CV2023

Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Hajar Kazemi Naeini +4

This research assesses the performance of two deep learning models, SAM and U-Net, for detecting cracks in concrete structures. The results indicate that each model has its own str…