Seyed Vahid Razavi Termeh

According to our database, Seyed Vahid Razavi Termeh authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling.

Seyed Vahid Razavi Termeh, Abolghasem Sadeghi-Niaraki, Saman Razavi, Soo-Mi Choi

Int. J. Digit. Earth, December, 2024

Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia.

Sani Isah Abba, Ahmed M. Al-Areeq, Mustafa Ghaleb, Atef Q. Kawara, Seyed Vahid Razavi Termeh

Neural Comput. Appl., September, 2024

Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm.

Ali Nouh Mabdeh, Rajendran Shobha Ajin, Seyed Vahid Razavi Termeh, Mohammad Ahmadlou, A'kif Al-Fugara

Remote. Sens., July, 2024

2022

Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping.

Negar Shabanpour, Seyed Vahid Razavi Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Tamer Abuhmed

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms.

Seyed Vahid Razavi Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

Remote. Sens., 2021

Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms.

Babak Ranjgar, Seyed Vahid Razavi Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki, Daniele Perissin

Remote. Sens., 2021

2020

Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods.

Seyed Vahid Razavi Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

Remote. Sens., 2020

2018

Landslide susceptibility assessment in the Anfu County, China: comparing different statistical and probabilistic models considering the new topo-hydrological factor (HAND).

Haoyuan Hong, Aiding Kornejady, Adel Soltani, Seyed Vahid Razavi Termeh, Junzhi Liu, A-Xing Zhu, Arastoo Yari hesar, Baharin Bin Ahmad, Yi Wang

Earth Sci. Informatics, 2018