Search Results - "Termeh, Seyed Vahid Razavi"

Asthma-prone areas modeling using a machine learning model by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi

“…Nowadays, owing to population growth, increasing environmental pollution, and lifestyle changes, the number of asthmatics has significantly increased…”
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Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi

“…In this study, asthma-prone area modeling of Tehran, Iran was provided by employing three ensemble machine learning algorithms (Bootstrap aggregating…”
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Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability by Jaafari, Abolfazl, Razavi Termeh, Seyed Vahid, Bui, Dieu Tien

“…In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfires are exacerbated by climate change and unplanned human…”
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Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms by Razavi Termeh, Seyed Vahid, Kornejady, Aiding, Pourghasemi, Hamid Reza, Keesstra, Saskia

“…Flood is one of the most destructive natural disasters which cause great financial and life losses per year. Therefore, producing susceptibility maps for flood…”
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Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi

“…This study aimed to prepare forest fire susceptibility mapping (FFSM) using a ubiquitous GIS and an ensemble of adaptive neuro fuzzy interface system (ANFIS)…”
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Improving groundwater potential mapping using metaheuristic approaches by Razavi-Termeh, Seyed Vahid, Khosravi, Khabat, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi, Singh, Vijay P.

“…Due to climate change and urban growth, the demand for new freshwater sources, especially groundwater, is increasing in water-deficient countries like Iran…”
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Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms by Ranjgar, Babak, Razavi-Termeh, Seyed Vahid, Foroughnia, Fatemeh, Sadeghi-Niaraki, Abolghasem, Perissin, Daniele

“…In this paper, land subsidence susceptibility was assessed for Shahryar County in Iran using the adaptive neuro-fuzzy inference system (ANFIS) machine learning…”
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Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping by Termeh, Seyed Vahid Razavi, Khosravi, Khabat, Sartaj, Majid, Keesstra, Saskia Deborah, Tsai, Frank T.-C., Dijksma, Roel, Pham, Binh Thai

“…The main goal of this study was to optimize an adaptive neuro-fuzzy inference system (ANFIS) using three meta-heuristic optimization algorithms—genetic…”
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COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Farhangi, Farbod, Choi, Soo-Mi

“…The reduction of population concentration in some urban land uses is one way to prevent and reduce the spread of COVID-19 disease. Therefore, the objective of…”
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Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Razavi, Saman, Choi, Soo-Mi

“…ABSTRACTThis study focuses on determining the optimal distance metric in the K-Nearest Neighbors (KNN) algorithm for spatial modelling of floods. Four distance…”
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Gully erosion susceptibility mapping using artificial intelligence and statistical models by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi

“…In this article, the gully erosion susceptibility map (GESM) was developed for the Abdanan region, Ilam province, Iran using frequency ratio (FR), logistic…”
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Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Jelokhani-Niaraki, Mohammadreza, Choi, Soo-Mi

“…This study addresses the critical need for comprehensive multi-pollution modeling in urban environments by employing Geospatial Artificial Intelligence (GeoAI)…”
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Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm by Mabdeh, Ali Nouh, Ajin, Rajendran Shobha, Razavi-Termeh, Seyed Vahid, Ahmadlou, Mohammad, Al-Fugara, A’kif

“…Flooding is a recurrent hazard occurring worldwide, resulting in severe losses. The preparation of a flood susceptibility map is a non-structural approach to…”
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Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping by Shabanpour, Negar, Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi, Abuhmed, Tamer

“…•Use of geospatial artificial intelligence (GeoAI) to spatially analyze a parasitic disease.•Spatial modeling of cutaneous leishmaniasis and its mapping using…”
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Get Spatial from Non-Spatial Information: Inferring Spatial Information from Textual Descriptions by Conceptual Spaces by Abbasi, Omid Reza, Alesheikh, Ali Asghar, Razavi-Termeh, Seyed Vahid

“…With the rapid growth of social media, textual content is increasingly growing. Unstructured texts are a rich source of latent spatial information. Extracting…”
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Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm by Razavi-Termeh, Seyed Vahid, Seo, MyoungBae, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi

“…Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that have heightened global concerns in light of climate change. Flood…”
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Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Abba, Sani I., Ali, Farman, Choi, Soo-Mi

“…Groundwater resources are essential for ensuring a consistent water supply in many regions. Groundwater potential maps (GPMs) can be utilized in many ways to…”
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Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset by Nazanin Bahadori, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Khalifa M. Al-Kindi, Tamer Abuhmed, Behrokh Nazeri, Soo-Mi Choi

“…Recurring wildfires pose a critical global issue as they undermine social and economic stability and jeopardize human lives. To effectively manage disasters…”
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Time-Series Hourly Sea Surface Temperature Prediction Using Deep Neural Network Models by Farhangi, Farbod, Sadeghi-Niaraki, Abolghasem, Safari Bazargani, Jalal, Razavi-Termeh, Seyed Vahid, Hussain, Dildar, Choi, Soo-Mi

“…Sea surface temperature (SST) is crucial in ocean research and marine activities. It makes predicting SST of paramount importance. While SST is highly affected…”
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Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm by Hosseini, Fatemeh Sadat, Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi, Jamshidi, Mohammad

“…This research aimed to predict soil’s physical and chemical properties with a state-of-the-art hybrid model based on deep learning algorithms and optical…”
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