Samad M. E. Sepasgozar

Orcid: 0000-0003-2568-3111

According to our database1, Samad M. E. Sepasgozar authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Citizen-centric digital twin development with machine learning and interfaces for maintaining urban infrastructure.
Telematics Informatics, October, 2023

Dielectric Fluctuation and Random Motion over Ground Model (DF-RMoG): An Unsupervised Three-Stage Method of Forest Height Estimation Considering Dielectric Property Changes.
Remote. Sens., April, 2023

An Improved Luminance Contrast Saliency Map for Burned Area Mapping Based in INSAR Coherence Difference Image.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A novel attention-based deep learning method for post-disaster building damage classification.
Expert Syst. Appl., 2022

Using an Evidence-Based Approach for Policy-Making Based on Big Data Analysis and Applying Detection Techniques on Twitter.
Big Data Cogn. Comput., 2022

2021
Modelling users' perception of the online real estate platforms in a digitally disruptive environment: An integrated KANO-SISQual approach.
Telematics Informatics, 2021

Urban Overheating Assessment through Prediction of Surface Temperatures: A Case Study of Karachi, Pakistan.
ISPRS Int. J. Geo Inf., 2021

Post-Disaster Classification of Building Damage Using Transfer Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Digital Twin and CyberGIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities.
ISPRS Int. J. Geo Inf., 2020

Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis.
Big Data Cogn. Comput., 2020

Data mining for recognition of spatial distribution patterns of building heights using airborne lidar data.
Adv. Eng. Informatics, 2020

2019
Spatial Analysis Using Temporal Point Clouds in Advanced GIS: Methods for Ground Elevation Extraction in Slant Areas and Building Classifications.
ISPRS Int. J. Geo Inf., 2019


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