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 021 (Earth Sci. Informatics, 2018)

Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Soo-Mi Choi (Remote. Sens., 2020)

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)

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)

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)

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., 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., 2024)

Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Mohammadreza Jelokhani-Niaraki; Soo-Mi Choi (Int. J. Digit. Earth, 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, 2024)

Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping. - Seyed Vahid Razavi Termeh; Ali Pourzangbar; Abolghasem Sadeghi-Niaraki; Mário J. Franca; Soo-Mi Choi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Cognitive modeling based on geotagged pictures of urban landscapes using mobile electroencephalogram signals and machine learning models. - Farbod Farhangi; Abolghasem Sadeghi-Niaraki; Seyed Vahid Razavi Termeh; Farimah Farhangi; Soo-Mi Choi (Cogn. Syst. Res., 2025)

Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping. - Seyed Vahid Razavi Termeh; Abolghasem Sadeghi-Niaraki; Seyedeh Zeinab Shogrkhodaei; Biswajeet Pradhan; Soo-Mi Choi (Ecol. Informatics, 2025)