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Journal Abstract Search

488 related items for PubMed ID: 32574917

  • 1. Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.
    Panahi M, Gayen A, Pourghasemi HR, Rezaie F, Lee S.
    Sci Total Environ; 2020 Nov 01; 741():139937. PubMed ID: 32574917
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  • 2. Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea.
    Hakim WL, Rezaie F, Nur AS, Panahi M, Khosravi K, Lee CW, Lee S.
    J Environ Manage; 2022 Mar 01; 305():114367. PubMed ID: 34968941
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  • 4. Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms.
    Razavi Termeh SV, Kornejady A, Pourghasemi HR, Keesstra S.
    Sci Total Environ; 2018 Feb 15; 615():438-451. PubMed ID: 28988080
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  • 5. Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.
    Wang Y, Hong H, Chen W, Li S, Panahi M, Khosravi K, Shirzadi A, Shahabi H, Panahi S, Costache R.
    J Environ Manage; 2019 Oct 01; 247():712-729. PubMed ID: 31279803
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  • 7. Multi-hazard probability assessment and mapping in Iran.
    Pourghasemi HR, Gayen A, Panahi M, Rezaie F, Blaschke T.
    Sci Total Environ; 2019 Nov 20; 692():556-571. PubMed ID: 31351297
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  • 8. Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India.
    Arora A, Arabameri A, Pandey M, Siddiqui MA, Shukla UK, Bui DT, Mishra VN, Bhardwaj A.
    Sci Total Environ; 2021 Jan 01; 750():141565. PubMed ID: 32882492
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  • 9. Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles.
    Moayedi H, Osouli A, Tien Bui D, Foong LK.
    Sensors (Basel); 2019 Oct 29; 19(21):. PubMed ID: 31671801
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  • 10. Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.
    Hong H, Panahi M, Shirzadi A, Ma T, Liu J, Zhu AX, Chen W, Kougias I, Kazakis N.
    Sci Total Environ; 2018 Apr 15; 621():1124-1141. PubMed ID: 29074239
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  • 11. Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction.
    Claywell R, Nadai L, Felde I, Ardabili S, Mosavi A.
    Entropy (Basel); 2020 Oct 22; 22(11):. PubMed ID: 33286960
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  • 14. An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction.
    Ahmadianfar I, Shirvani-Hosseini S, He J, Samadi-Koucheksaraee A, Yaseen ZM.
    Sci Rep; 2022 Mar 23; 12(1):4934. PubMed ID: 35322087
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  • 15. Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.
    Kazemipoor M, Hajifaraji M, Radzi CW, Shamshirband S, Petković D, Mat Kiah ML.
    Comput Methods Programs Biomed; 2015 Jan 23; 118(1):69-76. PubMed ID: 25453384
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  • 18. Development of novel hybridized models for urban flood susceptibility mapping.
    Rahmati O, Darabi H, Panahi M, Kalantari Z, Naghibi SA, Ferreira CSS, Kornejady A, Karimidastenaei Z, Mohammadi F, Stefanidis S, Tien Bui D, Haghighi AT.
    Sci Rep; 2020 Jul 31; 10(1):12937. PubMed ID: 32737384
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  • 19. Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration.
    Tikhamarine Y, Malik A, Souag-Gamane D, Kisi O.
    Environ Sci Pollut Res Int; 2020 Aug 31; 27(24):30001-30019. PubMed ID: 32445152
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