Seyed Vahid Razavi-Termeh
Seyed Vahid Razavi-Termeh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Seyed Vahid Razavi-Termeh has a total of 71 co-authors. Here are the top co-authors by number of shared publications:
- Abolghasem Sadeghi-Niaraki
Dept. of Computer Science & Engineering and Convergence Engineering for Intelligent Drone, XR Research Center, Sejong University, Seoul, Republic of Korea
28 shared publications - Soo-Mi Choi
Department of Computer Science and Engineering and Convergence Engineering for Intelligent Drone, XR Research Center, Sejong University, Seoul, Korea
26 shared publications - Farbod Farhangi
Department of Geospatial Information Systems, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
5 shared publications - Rizwan Ali Naqvi
Department of AI and Robotics, Sejong University, Seoul 05006, Republic of Korea
3 shared publications Aiding Kornejady
Islamic Azad University
2 shared publications- Ali Asghar Alesheikh
Department of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
2 shared publications
Latest Publications
- 13 March 2026
- Published by Springer Nature in Spatial Information Research
- Vol. 34 (2) , 21
Emerging uses of large language models for geospatial social media analytics: a review
- 13 March 2026
- Published by Springer Nature in Spatial Information Research
- Vol. 34 (2) , 21
Emerging uses of large language models for geospatial social media analytics: a review
- 23 February 2026
- Published by Springer Nature in Environmental and Ecological Statistics
- Vol. 33 (1) , 371-402
Advancing flood susceptibility mapping using evolutionary genetic programming and empirical models
- 23 February 2026
- Published by Springer Nature in Environmental and Ecological Statistics
- Vol. 33 (1) , 371-402
Advancing flood susceptibility mapping using evolutionary genetic programming and empirical models
- 18 February 2026
- Published by Springer Nature in Environmental and Ecological Statistics
- Vol. 33 (1) , 273-305
Optimizing spatial prediction of land subsidence through synergized non-parametric machine learning and swarm-based metaheuristic algorithms
- 18 February 2026
- Published by Springer Nature in Environmental and Ecological Statistics
- Vol. 33 (1) , 273-305
Optimizing spatial prediction of land subsidence through synergized non-parametric machine learning and swarm-based metaheuristic algorithms
- Open Access
- 10 October 2025
- Published by Springer Nature in Applied Water Science
- Vol. 15 (10) , 1-21
Virtual reality-assisted visualization of flood susceptibility using optimized machine learning models
- 10 October 2025
- Published by Springer Nature in Applied Water Science
- Vol. 15 (10) , 1-21
Open AccessVirtual reality-assisted visualization of flood susceptibility using optimized machine learning models
- Open Access
- 30 July 2025
- Published by Elsevier in Ecotoxicology and Environmental Safety
- Vol. 302, 118764
Optimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm
- 30 July 2025
- Published by Elsevier in Ecotoxicology and Environmental Safety
- Vol. 302, 118764
Open AccessOptimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm
- Open Access
- 18 July 2025
- Published by Springer Nature in Applied Water Science
- Vol. 15 (8) , 1-25
Flood susceptibility mapping using optimized deep learning models: a non-structural framework
- 18 July 2025
- Published by Springer Nature in Applied Water Science
- Vol. 15 (8) , 1-25
Open AccessFlood susceptibility mapping using optimized deep learning models: a non-structural framework
- Open Access
- 14 January 2025
- Published by Elsevier in International Journal of Applied Earth Observation and Geoinformation
- Vol. 136, 104357
Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
- 14 January 2025
- Published by Elsevier in International Journal of Applied Earth Observation and Geoinformation
- Vol. 136, 104357
Open AccessMetaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
- Open Access
- 30 October 2024
- Published by Springer Nature in Applied Water Science
- Vol. 14 (11) , 1-25
Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms
- 30 October 2024
- Published by Springer Nature in Applied Water Science
- Vol. 14 (11) , 1-25
Open AccessEnhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms