Hasil Pencarian - Seyed Vahid Razavi-Termeh

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  1. 1
    Cutaneous leishmaniasis susceptibility mapping using multi-criteria decision-making techniques, analytic hierarchy process (AHP) and analytic network process (ANP)

    Cutaneous leishmaniasis susceptibility mapping using multi-criteria decision-making techniques, analytic hierarchy process (AHP) and analytic network process (ANP) oleh SEYED VAHID RAZAVI TERMEH

    Diterbitkan 2018-02-01
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  2. 2
    Gully erosion susceptibility mapping using artificial intelligence and statistical models

    Gully erosion susceptibility mapping using artificial intelligence and statistical models oleh Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

    Diterbitkan 2020-01-01
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  3. 3
    Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods

    Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods oleh Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

    Diterbitkan 2020-05-01
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  4. 4
    Asthma-prone areas modeling using a machine learning model

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

    Diterbitkan 2021-01-01
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  5. 5
    Get Spatial from Non-Spatial Information: Inferring Spatial Information from Textual Descriptions by Conceptual Spaces

    Get Spatial from Non-Spatial Information: Inferring Spatial Information from Textual Descriptions by Conceptual Spaces oleh Omid Reza Abbasi, Ali Asghar Alesheikh, Seyed Vahid Razavi-Termeh

    Diterbitkan 2023-12-01
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  6. 6
    Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms

    Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms oleh Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

    Diterbitkan 2021-08-01
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  7. 7
    Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling

    Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling oleh Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Saman Razavi, Soo-Mi Choi

    Diterbitkan 2024-12-01
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  8. 8
    Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise

    Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise oleh Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Mohammadreza Jelokhani-Niaraki, Soo-Mi Choi

    Diterbitkan 2024-12-01
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  9. 9
    Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms

    Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms oleh Babak Ranjgar, Seyed Vahid Razavi-Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki, Daniele Perissin

    Diterbitkan 2021-03-01
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  10. 10
    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

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

    Diterbitkan 2023-09-01
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  11. 11
    Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping

    Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping oleh Negar Shabanpour, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Tamer Abuhmed

    Diterbitkan 2022-08-01
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  12. 12
    Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm

    Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm oleh Fatemeh Sadat Hosseini, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Mohammad Jamshidi

    Diterbitkan 2023-12-01
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  13. 13
    Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm

    Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm oleh Ali Nouh Mabdeh, Rajendran Shobha Ajin, Seyed Vahid Razavi-Termeh, Mohammad Ahmadlou, A’kif Al-Fugara

    Diterbitkan 2024-07-01
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  14. 14
    Time-Series Hourly Sea Surface Temperature Prediction Using Deep Neural Network Models

    Time-Series Hourly Sea Surface Temperature Prediction Using Deep Neural Network Models oleh Farbod Farhangi, Abolghasem Sadeghi-Niaraki, Jalal Safari Bazargani, Seyed Vahid Razavi-Termeh, Dildar Hussain, Soo-Mi Choi

    Diterbitkan 2023-05-01
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  15. 15
    Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset

    Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset oleh Nazanin Bahadori, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Khalifa M. Al-Kindi, Tamer Abuhmed, Behrokh Nazeri, Soo-Mi Choi

    Diterbitkan 2023-06-01
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