create a website

Spatial Prediction of the Groundwater Potential Using Remote Sensing Data and Bivariate Statistical-Based Artificial Intelligence Models. (2022). Ye, Yong ; Xue, Weifeng ; Chen, Wei ; Wang, Guirong.
In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
RePEc:spr:waterr:v:36:y:2022:i:14:d:10.1007_s11269-022-03307-w.

Full description at Econpapers || Download paper

Cited: 0

Citations received by this document

Cites: 128

References cited by this document

Cocites: 42

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

    This document has not been cited yet.

References

References cited by this document

  1. Adnan MN, Islam MZ (2017) Forest Pa: Constructing a decision forest by penalizing attributes used in previous trees. Expert Syst Appl 89:389–403. https://doi.org/10.1016/j.eswa.2017.08.002 .
    Paper not yet in RePEc: Add citation now
  2. Agarwal R, Garg P (2016) Remote sensing and Gis based groundwater potential & recharge zones mapping using multi-criteria decision making technique. Water Resour Manage 30:243–260.

  3. Al-Abadi AM (2015) Groundwater potential mapping at Northeastern Wasit and Missan Governorates, Iraq using a data-driven weights of evidence technique in framework of Gis. Environ Earth Sci 74:1109–1124.
    Paper not yet in RePEc: Add citation now
  4. Althuwaynee OF, Pradhan B, Park H-J, Lee JH (2014) A novel ensemble decision tree-based Chi-Squared Automatic Interaction Detection (Chaid) and multivariate logistic regression models in landslide susceptibility mapping. Landslides 11:1063–1078.
    Paper not yet in RePEc: Add citation now
  5. Altman DG (1990) Practical statistics for medical research. CRC Press.
    Paper not yet in RePEc: Add citation now
  6. Aniya M (1985) Landslide-susceptibility mapping in the Amahata River Basin, Japan. Ann Assoc Am Geogr 75:102–114.
    Paper not yet in RePEc: Add citation now
  7. Arabameri A, Pourghasemi HR (2019) Spatial modeling of gully erosion using linear and quadratic discriminant analyses in Gis and R. Spatial modeling in Gis and R for earth and environmental sciences. Elsevier, pp 299–321.
    Paper not yet in RePEc: Add citation now
  8. Arora R (2015) Multicollinearity: Detection and some solutions. In: Rogers III JC, Lamb JCW (eds), Proceedings of the 1983 Academy of Marketing Science (AMS) Annual Conference. Springer International Publishing, Cham, pp 501–505.
    Paper not yet in RePEc: Add citation now
  9. Basak A, Das J, Rahman ATMS, Pham QB (2021) An integrated approach for delineating and characterizing groundwater depletion hotspots in a Coastal State of India. J Geol Soc India 97:1429–1440. https://doi.org/10.1007/s12594-021-1883-z .
    Paper not yet in RePEc: Add citation now
  10. Beheshtirad HR, Masood P (2015) Assessment of a data-driven evidential belief function model and gis for groundwater potential mapping in the Koohrang Watershed, Iran. GeoIn 30:662–685.
    Paper not yet in RePEc: Add citation now
  11. Bianchini M, Frasconi P, Gori M (1995) Learning without local minima in radial basis function networks. IEEE Trans Neural Networks 6:749–756. https://doi.org/10.1109/72.377979 .
    Paper not yet in RePEc: Add citation now
  12. Bui DT, Ngo P-TT, Pham TD, Jaafari A, Minh NQ, Hoa PV, Samui P (2019) A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping. CATENA 179:184–196.
    Paper not yet in RePEc: Add citation now
  13. Bui DT, Pradhan B, Revhaug I, Nguyen DB, Pham HV, Bui QN (2015) A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son City Area (Vietnam). Geomat Nat Haz Risk 6:243–271.
    Paper not yet in RePEc: Add citation now
  14. Burdsall B, Giraud-Carrier C (1998) Ga-Rbf: a self-optimising Rbf network. In: Smith GD, Steele NC, Albrecht RF (eds) Artificial neural nets and genetic algorithms. Springer Vienna, Vienna, pp 346–349.
    Paper not yet in RePEc: Add citation now
  15. Centor R, Keightley G (1989) Receiver Operating Characteristics (Roc) curve area analysis using the Roc analyzer. Proceedings Symposium on Computer Applications in Medical Care, pp 222–226.
    Paper not yet in RePEc: Add citation now
  16. Chen W, Tsangaratos P, Ilia I, Duan Z, Chen X (2019b) Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods. Sci Total Environ 684:31–49. https://doi.org/10.1016/j.scitotenv.2019.05.312 .
    Paper not yet in RePEc: Add citation now
  17. Chen W, Xie X, Peng J, Wang J, Duan Z, Hong H (2017) Gis-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Na Ve-Bayes tree, and alternating decision tree models. Geomat Nat Haz Risk 8:950–973.
    Paper not yet in RePEc: Add citation now
  18. Chowdhury A, Jha M, Chowdary V, Mal B (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur District, West Bengal, India. Int J Remote Sens 30:231–250.
    Paper not yet in RePEc: Add citation now
  19. Chung C-JF, Fabbri AG (1993) The representation of geoscience information for data integration. Nonrenewable Resour 2:122–139.
    Paper not yet in RePEc: Add citation now
  20. Cook RJ (2005) Kappa and its dependence on marginal rates. Encyclopedia of Biostatistics 4.
    Paper not yet in RePEc: Add citation now
  21. Corsini A, Cervi F, Ronchetti F (2009) Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino Area (Northern Apennines, Italy). Geomorphology 111:79–87.
    Paper not yet in RePEc: Add citation now
  22. Daoud JI (2017) Multicollinearity and regression analysis. Journal of Physics: Conference Series. IOP Publishing, p 012009.
    Paper not yet in RePEc: Add citation now
  23. Díaz-Alcaide S, Martínez-Santos P (2019) Review: Advances in groundwater potential mapping. Hydrogeol J 27:2307–2324. https://doi.org/10.1007/s10040-019-02001-3 .
    Paper not yet in RePEc: Add citation now
  24. Dinesh Kumar P, Gopinath G, Seralathan P (2007) Application of remote sensing and Gis for the demarcation of groundwater potential zones of a river basin in Kerala, Southwest Coast of India. Int J Remote Sens 28:5583–5601.
    Paper not yet in RePEc: Add citation now
  25. Evans M (2012) A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1cr–1mo–0.25v steel using parametric models. J Mater Sci 47:2712–2724. https://doi.org/10.1007/s10853-011-6097-0 .
    Paper not yet in RePEc: Add citation now
  26. Fashae OA, Tijani MN, Talabi AO, Adedeji OI (2014) Delineation of groundwater potential zones in the crystalline basement terrain of Sw-Nigeria: an integrated Gis and remote sensing approach. Appl Water Sci 4:19–38.
    Paper not yet in RePEc: Add citation now
  27. Fleiss JL, Levin B, Paik MC (2013) Statistical methods for rates and proportions. John Wiley & Sons.
    Paper not yet in RePEc: Add citation now
  28. Frank E, Trigg L, Holmes G, Witten IH (2000) Naive Bayes for regression. Mach Learn 41:5–25.
    Paper not yet in RePEc: Add citation now
  29. Ghosh B (2021) Spatial mapping of groundwater potential using data-driven evidential belief function, knowledge-based analytic hierarchy process and an ensemble approach. Environ Earth Sci 80:625. https://doi.org/10.1007/s12665-021-09921-y .
    Paper not yet in RePEc: Add citation now
  30. Guru B, Seshan K, Bera S (2016) Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India. J King Saud Univ Sci.
    Paper not yet in RePEc: Add citation now
  31. Hakim WL, Nur AS, Rezaie F, Panahi M, Lee C-W, Lee S (2022) Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea. J Hydrol Region Stud 39:100990. https://doi.org/10.1016/j.ejrh.2022.100990 .
    Paper not yet in RePEc: Add citation now
  32. He Q, Shahabi H, Shirzadi A, Li S, Chen W, Wang N, Chai H, Bian H, Ma J, Chen Y, Wang X, Chapi K, Ahmad BB (2019) Landslide spatial modelling using novel bivariate statistical Based Naïve Bayes, Rbf classifier, and Rbf network machine learning algorithms. ScTEn 663:1–15. https://doi.org/10.1016/j.scitotenv.2019.01.329 .
    Paper not yet in RePEc: Add citation now
  33. Heckerman D (1986) Probabilistic Interpretations for Mycin’s Certainty Factors 4:167–196.
    Paper not yet in RePEc: Add citation now
  34. Ibrahim-Bathis K, Ahmed S (2016) Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga District, India. Egypt J Remote Sens Space Sci 19:223–234.
    Paper not yet in RePEc: Add citation now
  35. Jaafari A, Termeh SVR, Bui DT (2019a) Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability. J Environ Manage 243:358–369.
    Paper not yet in RePEc: Add citation now
  36. Jaiswal RK, Krishnamurthy J, Mukherjee S (2005) Regional study for mapping the natural resources prospect and problem zones using remote sensing and Gis. Geocarto Int 20:21–31.
    Paper not yet in RePEc: Add citation now
  37. Janizadeh S, Avand M, Jaafari A, Phong TV, Bayat M, Ahmadisharaf E, Prakash I, Pham BT, Lee S (2019) Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh Watershed, Iran. Sustainability 11:5426.

  38. Kalantar B, Al-Najjar HAH, Pradhan B, Saeidi V, Halin AA, Ueda N, Naghibi SA (2019) Optimized conditioning factors using machine learning techniques for groundwater potential mapping. Water 11:1909.
    Paper not yet in RePEc: Add citation now
  39. Kamali Maskooni E, Naghibi SA, Hashemi H, Berndtsson R (2020) Application of advanced machine learning algorithms to assess groundwater potential using remote sensing-derived data. Remote Sens 12:2742.
    Paper not yet in RePEc: Add citation now
  40. Khodadadzadeh M, Li J, Plaza A, Bioucas-Dias JM (2014) A subspace-based multinomial logistic regression for hyperspectral image classification. IEEE Geosci Remote Sens Lett 11:2105–2109. https://doi.org/10.1109/LGRS.2014.2320258 .
    Paper not yet in RePEc: Add citation now
  41. Kim J-C, Jung H-S, Lee S (2019) Spatial mapping of the groundwater potential of the Geum River Basin using ensemble models based on remote sensing images. Remote Sens 11:2285.
    Paper not yet in RePEc: Add citation now
  42. Kim K-B, Kim M, Woo YW (2007) Recognition of shipping container identifiers using art2-based quantization and a refined Rbf network. In: Beliczynski B, Dzielinski A, Iwanowski M, Ribeiro B (eds) Adaptive and natural computing algorithms. Springer, Berlin Heidelberg, Berlin, Heidelberg, pp 572–581.
    Paper not yet in RePEc: Add citation now
  43. Kondo C, Kondo T (2010) Learning algorithm of the revised Rbf network and its application to the media art system. Artif Life Robot 15:258–263. https://doi.org/10.1007/s10015-010-0804-9 .
    Paper not yet in RePEc: Add citation now
  44. Kontos Y (2020) Optimal management of polluted aquifers with genetic algorithms, considering possible nitrogen retrieval for reuse as fertilizer. 71/72:63–77.
    Paper not yet in RePEc: Add citation now
  45. Kordestani MD, Naghibi SA, Hashemi H, Ahmadi K, Kalantar B, Pradhan B (2019) Groundwater potential mapping using a novel data-mining ensemble model. Hydrogeol J 27:211–224. https://doi.org/10.1007/s10040-018-1848-5 .
    Paper not yet in RePEc: Add citation now
  46. Kumar A, Pramanik M, Chaudhary S, Negi MS, Szabo S (2022) Geospatial multi-criteria evaluation to identify groundwater potential in a Himalayan District, Rudraprayag, India. Environ Dev Sustain. https://doi.org/10.1007/s10668-021-02107-3 .
    Paper not yet in RePEc: Add citation now
  47. Kumar P, Herath S, Avtar R, Takeuchi K (2016) Mapping of groundwater potential zones in Killinochi Area, Sri Lanka, using Gis and remote sensing techniques. Sustain Water Resour Manage 2:419–430.
    Paper not yet in RePEc: Add citation now
  48. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 159–174.
    Paper not yet in RePEc: Add citation now
  49. Lee J-H, Sameen MI, Pradhan B, Park H-J (2018a) Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods. Geomorphology 303:284–298.
    Paper not yet in RePEc: Add citation now
  50. Lee S, Hong S-M, Jung H-S (2018b) Gis-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong City in Korea. Geocarto Int 33:847–861. https://doi.org/10.1080/10106049.2017.1303091 .
    Paper not yet in RePEc: Add citation now
  51. Lee S, Kim YS, Oh HJ (2012) Application of a weights-of-evidence method and Gis to regional groundwater productivity potential mapping. J Environ Manage 96:91–105.
    Paper not yet in RePEc: Add citation now
  52. Lee S, Lee C-W, Kim J-C (2019) Groundwater productivity potential mapping using logistic regression and boosted tree models: the case of Okcheon City in Korea. Springer International Publishing, Cham, pp 305–307.
    Paper not yet in RePEc: Add citation now
  53. Lee S, Oh H-J (2012) Ensemble-based landslide susceptibility maps in Jinbu Area, Korea. Terrigenous Mass Movements. Springer, pp 193–220.
    Paper not yet in RePEc: Add citation now
  54. Lei X, Chen W, Pham BT (2020) Performance evaluation of Gis-based artificial intelligence approaches for landslide susceptibility modeling and spatial patterns analysis. ISPRS Int J Geo Inf 9:443.
    Paper not yet in RePEc: Add citation now
  55. Li H, Huang X, Huang B, Ping L (2010) Prediction of urban land use evolution using temporal remote sensing data analysis and a spatial logistic model. 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010, July 25, 2010 - July 30, 2010. Institute of Electrical and Electronics Engineers Inc., Honolulu, HI, United states, pp 2751–2753.
    Paper not yet in RePEc: Add citation now
  56. Li MM, Verma B (2016) Nonlinear curve fitting to stopping power data using Rbf neural networks. Expert Syst Appl 45:161–171. https://doi.org/10.1016/j.eswa.2015.09.033 .
    Paper not yet in RePEc: Add citation now
  57. Lin G-F, Chang M-J, Huang Y-C, Ho J-Y (2017) Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression. Eng Geol 224:62–74. https://doi.org/10.1016/j.enggeo.2017.05.009 .
    Paper not yet in RePEc: Add citation now
  58. Luce RD (2005) Individual choice behavior: a theoretical analysis.
    Paper not yet in RePEc: Add citation now
  59. Lv G, Wang X (2006) Power quality identification based on S-Transform and Rbf neural network. In: Huang D-S, Li K, Irwin GW (eds) Intelligent computing. Springer, Berlin Heidelberg, Berlin, Heidelberg, pp 434–439.
    Paper not yet in RePEc: Add citation now
  60. Madani A (2015) Groundwater potential mapping using remote sensing techniques and weights of evidence Gis Model: a case study from Wadi Yalamlam Basin, Makkah Province, Western Saudi Arabia. Environ Earth Sci 74:1–14.
    Paper not yet in RePEc: Add citation now
  61. Manap MA, Nampak H, Pradhan B, Lee S, Sulaiman WNA, Ramli MF (2014) Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and Gis. Arab J Geosci 7:711–724.
    Paper not yet in RePEc: Add citation now
  62. Manap MA, Nampak H, Pradhan B, Lee S, Wan NAS, Ramli MF (2012) Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and Gis. Arab J Geosci 7:1–14.
    Paper not yet in RePEc: Add citation now
  63. Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2013) A knowledge-driven Gis modeling technique for groundwater potential mapping at the upper Langat Basin, Malaysia. Arab J Geosci 6:1621–1637. https://doi.org/10.1007/s12517-011-0469-2 .
    Paper not yet in RePEc: Add citation now
  64. Mansfield ER, Helms BP (1982) Detecting Multicollinearity. Am Stat 36:158–160.
    Paper not yet in RePEc: Add citation now
  65. McFadden D (1974) Conditional logit analysis of qualitative choice behavior, pp 105–142.
    Paper not yet in RePEc: Add citation now
  66. McHugh ML (2012) Interrater reliability: the Kappa Statistic. Biochemia Medica 22:276–282.
    Paper not yet in RePEc: Add citation now
  67. Miraki S, Zanganeh SH, Chapi K, Singh VP, Shirzadi A, Shahabi H, Pham BT (2019) Mapping groundwater potential using a novel hybrid intelligence approach. Water Resour Manage 33:281–302.

  68. Misi A, Gumindoga W, Hoko Z (2018) An Assessment of groundwater potential and vulnerability in the upper Manyame sub-catchment of Zimbabwe. Phys Chem Earth Parts a/b/c 105:72–83.
    Paper not yet in RePEc: Add citation now
  69. Moayedi H, Tien Bui D, Gor M, Pradhan B, Jaafari A (2019) The feasibility of three prediction techniques of the artificial neural network, adaptive neuro-fuzzy inference system, and hybrid particle swarm optimization for assessing the safety factor of cohesive slopes. ISPRS Int J Geo Inf 8:391.
    Paper not yet in RePEc: Add citation now
  70. Mogaji KA, Lim HS, Abdullah K (2015) Regional prediction of groundwater potential mapping in a multifaceted geology terrain using Gis-based Dempster-Shafer model. Arab J Geosci 8:3235–3258.
    Paper not yet in RePEc: Add citation now
  71. Moghaddam DD, Rezaei M, Pourghasemi H, Pourtaghie Z, Pradhan B (2015) Groundwater spring potential mapping using bivariate statistical model and Gis in the Taleghan watershed, Iran. Arab J Geosci 8:913–929.
    Paper not yet in RePEc: Add citation now
  72. Moody J, Darken CJ (1989) Fast learning in networks of locally-tuned processing units. Neural Comput 1:281–294. https://doi.org/10.1162/neco.1989.1.2.281 .
    Paper not yet in RePEc: Add citation now
  73. Moore ID, Grayson R, Ladson A (1991) Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrol Process 5:3–30.
    Paper not yet in RePEc: Add citation now
  74. Mortezaeipooya S-S, Ashofteh P-S, Golfam P (2022) Selecting the best approach to modeling the performance of water supply system using the combination of rough set theory with multi-criteria decision making. Water Resour Manage 36:3129–3152. https://doi.org/10.1007/s11269-022-03193-2 .

  75. Naghibi SA, Ahmadi K, Daneshi A (2017) Application of support vector machine, random forest, and genetic algorithm optimized random forest models in groundwater potential mapping. Water Resour Manage 31:2761–2775. https://doi.org/10.1007/s11269-017-1660-3 .

  76. Naghibi SA, Pourghasemi HR (2015) A comparative assessment between three machine learning models and their performance comparison by bivariate and multivariate statistical methods in groundwater potential mapping. Water Resour Manage 29:5217–5236. https://doi.org/10.1007/s11269-015-1114-8 .

  77. Naghibi SA, Pourghasemi HR, Abbaspour K (2018) A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran Using R and Gis. ThApC 131:967–984. https://doi.org/10.1007/s00704-016-2022-4 .
    Paper not yet in RePEc: Add citation now
  78. Naghibi SA, Pourghasemi HR, Dixon B (2016) Gis-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran. Environ Monit Assess 188:1–27.
    Paper not yet in RePEc: Add citation now
  79. Naghibi SA, Pourghasemi HR, Pourtaghi ZS, Rezaei A (2014) Groundwater Qanat potential mapping using frequency ratio and shannon’s entropy models in the Moghan Watershed, Iran. Earth Sci Inform 8:171–186.
    Paper not yet in RePEc: Add citation now
  80. Naghibi SA, Pourghasemi HR, Pourtaghi ZS, Rezaei A (2015) Groundwater Qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan Watershed, Iran. Earth Sci Inform 8:171–186.
    Paper not yet in RePEc: Add citation now
  81. Nampak H, Pradhan B, Manap MA (2014a) Application of Gis based data driven evidential belief function model to predict groundwater potential zonation. J Hydrol 513:283–300.
    Paper not yet in RePEc: Add citation now
  82. Nampak H, Pradhan B, Manap MA (2014b) Application of Gis based data driven evidential belief function model to predict groundwater potential zonation. J Hyd 513:283–300.
    Paper not yet in RePEc: Add citation now
  83. Nejad SG, Falah F, Daneshfar M, Haghizadeh A, Rahmati O (2015) Delineation of groundwater potential zones using remote sensing and Gis-based data-driven models. Geocarto International.
    Paper not yet in RePEc: Add citation now
  84. Nemati A, Najafabadi SHG, Joodaki G, Nadoushani SSM (2020) Spatiotemporal drought characterization using gravity recovery and climate experiment (Grace) in the Central Plateau Catchment of Iran. Environ Process 7:135–157. https://doi.org/10.1007/s40710-019-00413-7 .
    Paper not yet in RePEc: Add citation now
  85. Nguyen PT, Ha DH, Avand M, Jaafari A, Nguyen HD, Al-Ansari N, Phong TV, Sharma R, Kumar R, Le HV (2020a) Soft computing ensemble models based on logistic regression for groundwater potential mapping. Appl Sci 10:2469.
    Paper not yet in RePEc: Add citation now
  86. Nguyen PT, Ha DH, Jaafari A, Nguyen HD, Van Phong T, Al-Ansari N, Prakash I, Le HV, Pham BT (2020b) Groundwater potential mapping combining artificial neural network and real Adaboost ensemble technique: the Daknong Province case-study, Vietnam. Int J Environ Res Pub Health 17:2473.
    Paper not yet in RePEc: Add citation now
  87. Nhu V-H, Rahmati O, Falah F, Shojaei S, Al-Ansari N, Shahabi H, Shirzadi A, Gorski K, Nguyen H, Ahmad BB (2020a) Mapping of groundwater spring potential in Karst aquifer system using novel ensemble bivariate and multivariate models. Water 12:985.
    Paper not yet in RePEc: Add citation now
  88. Nhu V-H, Shirzadi A, Shahabi H, Singh SK, Al-Ansari N, Clague JJ, Jaafari A, Chen W, Miraki S, Dou J, Luu C, Górski K, Thai Pham B, Nguyen HD, Ahmad BB (2020b) Shallow landslide susceptibility mapping: a comparison between logistic model tree, logistic regression, Naïve Bayes tree, artificial neural network, and support vector machine algorithms. Int J Env Res Public Health 17:2749.
    Paper not yet in RePEc: Add citation now
  89. O’Brien RM (2007) A caution regarding rules of thumb for variance inflation factors. Qual Quant 41:673–690.
    Paper not yet in RePEc: Add citation now
  90. Oikonomidis D, Dimogianni S, Kazakis N, Voudouris K (2015) A Gis/remote sensing-based methodology for groundwater potentiality assessment in Tirnavos Area, Greece. J Hydrol 525:197–208.
    Paper not yet in RePEc: Add citation now
  91. Ozdemir A (2011) Gis-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison. J Hydrol 411:290–308.
    Paper not yet in RePEc: Add citation now
  92. Ozdemir A, Altural T (2013) A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, Sw Turkey. J Asian Earth Sci 64:180–197.
    Paper not yet in RePEc: Add citation now
  93. Pourghasemi HR, Beheshtirad M (2015) Assessment of a data-driven evidential belief function model and gis for groundwater potential mapping in the Koohrang Watershed, Iran. Geocarto Int 30:662–685.
    Paper not yet in RePEc: Add citation now
  94. Pourghasemi HR, Gayen A, Park S, Lee C-W, Lee S (2018) Assessment of landslide-prone areas and their zonation using logistic regression, logitboost, and na vebayes machine-learning algorithms. Sustainability 10:3697.

  95. Pourtaghi ZS, Pourghasemi HR (2014) Gis-based groundwater spring potential assessment and mapping in the Birjand Township, Southern Khorasan Province, Iran. Hydrogeol J 22:643–662.
    Paper not yet in RePEc: Add citation now
  96. Prasad P, Loveson VJ, Kotha M, Yadav R (2020) Application of machine learning techniques in groundwater potential mapping along the West Coast of India. Giscience Remote Sens 57:735–752. https://doi.org/10.1080/15481603.2020.1794104 .
    Paper not yet in RePEc: Add citation now
  97. Rahmati O, Melesse AM (2016) Application of Dempster-Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the Semi-Arid Region of Khuzestan, Iran. Sci Total Environ 568:1110–1123.
    Paper not yet in RePEc: Add citation now
  98. Rather AF, Ahmed R, Wani GF, Ahmad ST, Dar T, Javaid S, Ahmed P (2022) Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, Gis and Ahp. Earth Sci Inform. https://doi.org/10.1007/s12145-022-00824-5 .
    Paper not yet in RePEc: Add citation now
  99. Razandi Y, Pourghasemi HR, Neisani NS, Rahmati O (2015) Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using Gis. Earth Sci Inf 8:867–883. https://doi.org/10.1007/s12145-015-0220-8 .
    Paper not yet in RePEc: Add citation now
  100. Rennie JD, Shih L, Teevan J, Karger DR (2003) Tackling the Poor Assumptions of Naive Bayes Text Classifiers. Proceedings of the 20th international conference on machine learning (ICML-03), pp 616–623.
    Paper not yet in RePEc: Add citation now
  101. Rish I (2001) An empirical study of the Naive Bayes classifier. IJCAI 2001 workshop on empirical methods in artificial intelligence, pp 41–46.
    Paper not yet in RePEc: Add citation now
  102. Rodriguez-Galiano V, Mendes MP, Garcia-Soldado MJ, Chica-Olmo M, Ribeiro L (2014) Predictive modeling of groundwater nitrate pollution using random forest and multisource variables related to intrinsic and specific vulnerability: a case study in an agricultural setting (Southern Spain). Sci Total Environ 476–477C:189–206.
    Paper not yet in RePEc: Add citation now
  103. Ruljigaljig T, Cheng YS, Lin HI et al (2014) Evaluating the perennial stream using logistic regression in central Taiwan. AGU Fall Meeting Abstracts 2014:H11G-0942.
    Paper not yet in RePEc: Add citation now
  104. Saridakis M, Spiliotis M, Hrissanthou V (2021) Assessment of Bedload Transport in Sand-Gravel Bed Rivers by Using Nonlinear Fuzzy Regression 69(70):15–22.
    Paper not yet in RePEc: Add citation now
  105. Satapathy SK, Dehuri S, Jagadev AK (2017) Abc optimized Rbf network for classification of Eeg signal for epileptic seizure identification. Egypt Inform J 18:55–66. https://doi.org/10.1016/j.eij.2016.05.001 .
    Paper not yet in RePEc: Add citation now
  106. Shortliffe EH, Buchanan BG (1975) A model of inexact reasoning in medicine. Math Biosci 23:351–379. https://doi.org/10.1016/0025-5564(75)90047-4 .
    Paper not yet in RePEc: Add citation now
  107. Shrout PE (1998) Measurement reliability and agreement in psychiatry. Stat Methods Med Res 7:301–317.
    Paper not yet in RePEc: Add citation now
  108. Sim J, Wright CC (2005) The Kappa statistic in reliability studies: Use, interpretation, and sample size requirements. Phys Ther 85:257–268.
    Paper not yet in RePEc: Add citation now
  109. Sörensen R, Zinko U, Seibert J (2006) On the calculation of the topographic wetness index: Evaluation of different methods based on field observations. Hydrol Earth Syst Sci 10:101–112.
    Paper not yet in RePEc: Add citation now
  110. Srivastava PK, Bhattacharya AK (2006) Groundwater assessment through an integrated approach using remote sensing, Gis and resistivity techniques: a case study from a hard rock terrain. Int J Remote Sens 27:4599–4620.
    Paper not yet in RePEc: Add citation now
  111. Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285–1293.
    Paper not yet in RePEc: Add citation now
  112. Tahmassebipoor N, Rahmati O, Noormohamadi F, Lee S (2016) Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing. Arab J Geosci 9:1–18.
    Paper not yet in RePEc: Add citation now
  113. Termeh SVR, Khosravi K, Sartaj M, Keesstra SD, Tsai FTC, Dijksma R, Pham BT (2019) Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping. HydJ 27:2511–2534. https://doi.org/10.1007/s10040-019-02017-9 .
    Paper not yet in RePEc: Add citation now
  114. Tien Bui D, Moayedi H, Gor M, Jaafari A, Foong LK (2019a) Predicting slope stability failure through machine learning paradigms. ISPRS Int J Geo Inf 8:395.
    Paper not yet in RePEc: Add citation now
  115. Tien Bui D, Shirzadi A, Chapi K, Shahabi H, Pradhan B, Pham BT, Singh VP, Chen W, Khosravi K, Bin Ahmad B (2019b) A hybrid computational intelligence approach to groundwater spring potential mapping. Water 11:2013.
    Paper not yet in RePEc: Add citation now
  116. Torres M, Hervas C, Garcia C (2009) Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. Expert Syst Appl 36:12225–12235. https://doi.org/10.1016/j.eswa.2009.04.070 .
    Paper not yet in RePEc: Add citation now
  117. Tran P, Ly H-B, Trinh P, Prakash I, Pham B (2020) Landslide susceptibility mapping using forest by penalizing attributes (Fpa) algorithm based machine learning approach. Vietnam J Earth Sci. https://doi.org/10.15625/0866-7187/42/3/15047 .
    Paper not yet in RePEc: Add citation now
  118. Vafaeinejad A, Mahmoudi Jam S (2021) Using particle swarm optimization algorithm and geospatial information system for potential evaluating of groundwater (Case Study: Mehran, Iran). Arab J Geosci 14:1139. https://doi.org/10.1007/s12517-021-07475-8 .
    Paper not yet in RePEc: Add citation now
  119. Walter S (2002) Properties of the summary receiver operating characteristic (Sroc) curve for diagnostic test data. Stat Med 21:1237–1256.
    Paper not yet in RePEc: Add citation now
  120. Wan T, Jun H, Zhang H, Pan W, Hua H (2015) Kappa coefficient: a popular measure of rater agreement. Shanghai Arch Psychiatry 27:62.
    Paper not yet in RePEc: Add citation now
  121. Webb G (2016) Naïve Bayes, pp 1–2.
    Paper not yet in RePEc: Add citation now
  122. Yijun H, Wu N (2010) Application of Rbf network in system identification for flight control systems. 2010 International Forum on Information Technology and Applications, IFITA 2010, July 16, 2010 - July 18, 2010. IEEE Computer Society, Kunming, China, pp 67–69.
    Paper not yet in RePEc: Add citation now
  123. Yu H, Jiang S, Land KC (2015) Multicollinearity in hierarchical linear models. Soc Sci Res 53:118–136.
    Paper not yet in RePEc: Add citation now
  124. Zabihi M, Pourghasemi HR, Pourtaghi ZS, Behzadfar M (2016) Gis-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran. Environ Earth Sci 75:665.
    Paper not yet in RePEc: Add citation now
  125. Zhai X, Xia J, Zhang Y (2014) Water quality variation in the highly disturbed Huai River Basin, China from 1994 to 2005 by multi-statistical analyses. Sci Total Environ 496:594–606.
    Paper not yet in RePEc: Add citation now
  126. Zhang R, Huang G-B, Sundararajan N, Saratchandran P (2007) Improved Gap-Rbf network for classification problems. Neurocomputing 70:3011–3018. https://doi.org/10.1016/j.neucom.2006.07.016 .
    Paper not yet in RePEc: Add citation now
  127. Zhao X, Chen W (2020) Optimization of computational intelligence models for landslide susceptibility evaluation. Remote Sens 12:2180.
    Paper not yet in RePEc: Add citation now
  128. Zhou C, Yin K, Cao Y, Ahmed B, Li Y, Catani F, Pourghasemi HR (2018) Landslide susceptibility modeling applying machine learning methods: a case study from Longju in the Three Gorges Reservoir Area, China. Comput Geosci 112:23–37.
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. A hybrid machine learning modelling for optimization of flood susceptibility mapping in the eastern Mediterranean. (2025). Mallick, Javed ; Khaddour, Lina A ; Alharbi, Maged Muteb ; Kotaridis, Ioannis ; Prasad, Pankaj ; Zeng, Taorui ; Alqadhi, Saeed ; Richi, Sahar Mohammed ; Abdo, Hazem Ghassan.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:121:y:2025:i:6:d:10.1007_s11069-024-07081-3.

    Full description at Econpapers || Download paper

  2. Enhancing Flood Susceptibility Modeling: a Hybrid Deep Neural Network with Statistical Learning Algorithms for Predicting Flood Prone Areas. (2024). Ahmadipari, Masumeh ; Ghobadi, Motrza.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:38:y:2024:i:8:d:10.1007_s11269-024-03770-7.

    Full description at Econpapers || Download paper

  3. Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan. (2024). Isazade, Vahid ; Qasimi, Abdul Baser ; Berndtsson, Ronny.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:120:y:2024:i:2:d:10.1007_s11069-023-06232-2.

    Full description at Econpapers || Download paper

  4. Assessment of Groundwater Potential Zones Utilizing Geographic Information System-Based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Preference by Similarity to Ideal Solution Methods: A Case Study in Mersin, Türkiye. (2024). Yakar, Murat ; Elik, Mehmet Ozgur ; Kuak, Lutfiye.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:5:p:2202-:d:1352365.

    Full description at Econpapers || Download paper

  5. Delineation of potential alternative agriculture region using RS and AHP-based GIS techniques in the drought prone upper Dwarakeswer river basin, West Bengal, India. (2024). Senapati, Ujjal ; Das, Tapan Kumar.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:490:y:2024:i:c:s0304380024000395.

    Full description at Econpapers || Download paper

  6. GROUNDWATER POTENTIAL ZONE IDENTIFICATION USING REMOTE-SENSING-BASED/GIS BASED MACHINE AND ANALYTICAL HIERARCHY PROCESS (AHP) FOR ABBAY WATERSHED, EAST AFRICA. (2023). Yoshe, Agegnehu Kitanbo.
    In: Engineering Heritage Journal (GWK).
    RePEc:zib:zbngwk:v:7:y:2023:i:1:p:10-25.

    Full description at Econpapers || Download paper

  7. Risk assessment and management of vulnerable areas to flash flood hazards in arid regions using remote sensing and GIS-based knowledge-driven techniques. (2023). Abdelkareem, Mohamed ; Mansour, Abbas M.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:117:y:2023:i:3:d:10.1007_s11069-023-05942-x.

    Full description at Econpapers || Download paper

  8. Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran. (2023). Bordbar, Mojgan ; Panahi, Mahdi ; Moeini, Hamidreza ; Jun, Changhyun ; Paryani, Sina ; Bateni, Sayed M ; Lee, Saro.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:116:y:2023:i:1:d:10.1007_s11069-022-05701-4.

    Full description at Econpapers || Download paper

  9. Land subsidence hazard assessment based on novel hybrid approach: BWM, weighted overlay index (WOI), and support vector machine (SVM). (2023). Baikpour, Shahram ; Mehrnoor, Shabnam ; Kheirkhah, Mir Masoud ; Robati, Maryam ; Farsad, Forough.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:115:y:2023:i:3:d:10.1007_s11069-022-05624-0.

    Full description at Econpapers || Download paper

  10. Pluvial Flash Flood Hazard and Risk Mapping in Croatia: Case Study in the Gospić Catchment. (2023). Krvavica, Nino ; Pana, Lovre ; Horvat, Bojana ; Iljeg, Ante.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:2:p:1197-:d:1029550.

    Full description at Econpapers || Download paper

  11. Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes. (2023). Ariman, Sema ; Beden, Neslihan ; Soydan-Oksal, Nazire Goksu ; Ahmadzai, Hayatullah.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:14:p:10964-:d:1192907.

    Full description at Econpapers || Download paper

  12. Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer. (2023). Chowdhury, Tahmida Naher ; Pal, Subodh Chandra ; Costache, Romulus ; Chakrabortty, Rabin ; Al-Sadoon, Mohammad Khalid ; Mia, Md Uzzal ; Reza, Abu.
    In: Land.
    RePEc:gam:jlands:v:12:y:2023:i:4:p:810-:d:1114409.

    Full description at Econpapers || Download paper

  13. Mapping Groundwater Prospective Areas Using Remote Sensing and GIS-Based Data Driven Frequency Ratio Techniques and Detecting Land Cover Changes in the Yellow River Basin, China. (2023). Li, Shuhang ; Al-Arifi, Nassir ; Abdelkareem, Mohamed.
    In: Land.
    RePEc:gam:jlands:v:12:y:2023:i:4:p:771-:d:1110162.

    Full description at Econpapers || Download paper

  14. Spatial Prediction of the Groundwater Potential Using Remote Sensing Data and Bivariate Statistical-Based Artificial Intelligence Models. (2022). Ye, Yong ; Xue, Weifeng ; Chen, Wei ; Wang, Guirong.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:36:y:2022:i:14:d:10.1007_s11269-022-03307-w.

    Full description at Econpapers || Download paper

  15. Investigation of Topographical Controls on the Groundwater Potential Zone in a Hilly Watershed Using a Geospatial and Geophysical Approach. (2022). Singh, Roshani ; Chattopadhyay, Pallavi Banerjee ; Anand, Aditya Kumar.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:36:y:2022:i:13:d:10.1007_s11269-022-03314-x.

    Full description at Econpapers || Download paper

  16. Sustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh. (2022). Priya, Ujjayini ; Sarkar, Showmitra Kumar ; Imran, Saiful Islam ; Iqbal, Muhammad Anwar ; Uddin, Mohammed Faruque ; Salam, Mohammed Abdus ; Nur, MD ; Eh, Aweng ; Reza, Abu.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:9:p:5640-:d:810428.

    Full description at Econpapers || Download paper

  17. Application of GIS and Machine Learning to Predict Flood Areas in Nigeria. (2022). Tanikawa, Hiroki ; Shirakawa, Hiroaki ; Ighile, Eseosa Halima.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:9:p:5039-:d:799819.

    Full description at Econpapers || Download paper

  18. GIS and AHP Based Groundwater Potential Zones Delineation in Chennai River Basin (CRB), India. (2022). Sajil, Pazhuparambil Jayarajan ; Schneider, Michael ; Elango, Lakshmanan.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:3:p:1830-:d:742717.

    Full description at Econpapers || Download paper

  19. Identification and Assessment of Groundwater and Soil Contamination from an Informal Landfill Site. (2022). Wang, YU ; Liu, Xinyang.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:24:p:16948-:d:1006571.

    Full description at Econpapers || Download paper

  20. Delineating Groundwater Potential Zones in Hyper-Arid Regions Using the Applications of Remote Sensing and GIS Modeling in the Eastern Desert, Egypt. (2022). Nassar, Tamer ; Hussien, Hussien M ; Morgan, Hesham ; Madani, Ahmed.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:24:p:16942-:d:1006493.

    Full description at Econpapers || Download paper

  21. Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia. (2022). Alarifi, Saad S ; Abdelkareem, Mohamed ; Alotaibi, Mislat ; Abdalla, Fathy.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:21:p:14145-:d:957737.

    Full description at Econpapers || Download paper

  22. Quantitative flood risk evaluation to improve drivers€™ route choice decisions during disruptive precipitation. (2022). Hayeri, Yeganeh M.
    In: Reliability Engineering and System Safety.
    RePEc:eee:reensy:v:219:y:2022:i:c:s0951832021006803.

    Full description at Econpapers || Download paper

  23. A BIM-Based Safety Management Framework for Operation and Maintenance in Water Diversion Projects. (2021). Liu, Ting ; Zhang, Sherong ; Wang, Chao.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:35:y:2021:i:5:d:10.1007_s11269-021-02813-7.

    Full description at Econpapers || Download paper

  24. Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction. (2021). Hosseini, Farzaneh Sajedi ; Sardooi, Elham Rafiei ; Choubin, Bahram ; Mosavi, Amirhosein ; Dineva, Adrienn A ; Goodarzi, Massoud.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:35:y:2021:i:1:d:10.1007_s11269-020-02704-3.

    Full description at Econpapers || Download paper

  25. Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling. (2021). Kapelan, Zoran ; Janizadeh, Saeid ; Dinan, Naghmeh Mobarghaee ; Vafakhah, Mehdi.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:35:y:2021:i:13:d:10.1007_s11269-021-02972-7.

    Full description at Econpapers || Download paper

  26. Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping. (2021). Nguyen, Huu Duy ; Le, Hiep ; Thi, Hanh Bich ; Ha, Duong Hai ; Phong, Tran ; Pham, Binh Thai ; Costache, Romulus ; Sharma, Rohit ; Al-Ansari, Nadhir ; Amiri, Mahdis ; Prakash, Indra.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:35:y:2021:i:13:d:10.1007_s11269-021-02957-6.

    Full description at Econpapers || Download paper

  27. Appraisal of groundwater potentiality of multilayer alluvial aquifers of the Varuna river basin, India, using two concurrent methods of MCDM. (2021). Shukla, U K ; Dey, Sangita ; Mall, R K ; Mehrishi, P.
    In: Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development.
    RePEc:spr:endesu:v:23:y:2021:i:12:d:10.1007_s10668-021-01400-5.

    Full description at Econpapers || Download paper

  28. Identifying Potential Sites for Artificial Recharge in the Plain Area of the Daqing River Catchment Using GIS-Based Multi-Criteria Analysis. (2021). Zhang, Yiwu ; Su, Xiaosi ; Xu, Guigui ; You, Bing.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:7:p:3978-:d:529483.

    Full description at Econpapers || Download paper

  29. Integrated GIS-Based Multi-Criteria Analysis for Groundwater Potential Mapping in the Euphrates’s Sub-Basin, Harran Basin, Turkey. (2021). Aslan, Veysel ; Elik, Recep.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:13:p:7375-:d:586575.

    Full description at Econpapers || Download paper

  30. Implications for Tracking SDG Indicator Metrics with Gridded Population Data. (2021). Yetman, Greg ; Stevens, Forrest ; Huyck, Charles ; Tuholske, Cascade ; Hultquist, Carolynne ; Kruczkiewicz, Andrew ; Gaughan, Andrea E ; de Sherbinin, Alex ; Sorichetta, Alessandro ; Bucherie, Agathe.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:13:p:7329-:d:585687.

    Full description at Econpapers || Download paper

  31. Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling. (2020). van Phong, Tran ; Nguyen, Phong Tung ; Trinh, Phan Trong ; Al-Ansari, Nadhir ; Si, Lanh ; Prakash, Indra ; van Le, Hiep ; Ha, Duong Hai ; Pham, Binh Thai.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:7:p:2622-:d:337175.

    Full description at Econpapers || Download paper

  32. Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations. (2020). Lee, Saro ; Jung, Hyung-Sup ; Pradhan, Biswajeet.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:6:p:2390-:d:334220.

    Full description at Econpapers || Download paper

  33. A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil. (2020). Nguyen-Thoi, Trung ; Al-Ansari, Nadhir ; Si, Lanh ; Prakash, Indra ; van Le, Hiep ; Ly, Hai-Bang ; Qi, Chongchong ; Pham, Binh Thai.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:6:p:2218-:d:331801.

    Full description at Econpapers || Download paper

  34. Modeling Flash Floods and Induced Recharge into Alluvial Aquifers Using Multi-Temporal Remote Sensing and Electrical Resistivity Imaging. (2020). El-Saadawy, Omnia ; el Bastawesy, Mohammed ; Attwa, Mohamed ; Gaber, Ahmed ; Abotalib, Abotalib Z ; Othman, Abdullah.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:23:p:10204-:d:458004.

    Full description at Econpapers || Download paper

  35. Flood Risk Assessment for the Long-Term Strategic Planning Considering the Placement of Industrial Parks in Slovakia. (2020). Muchova, Zlatica ; Moko, Matej ; Izsoff, Martin ; Slamova, Martina ; Straak, Jozef ; Machar, Ivo ; Greo, Henrich ; Vrbianova, Greta ; Petrovi, Frantiek ; Olah, Branislav.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:10:p:4144-:d:360041.

    Full description at Econpapers || Download paper

  36. Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam. (2020). van Phong, Tran ; Nguyen, Phong Tung ; Al-Ansari, Nadhir ; Prakash, Indra ; van Le, Hiep ; Ha, Duong Hai ; Pham, Binh Thai ; Jaafari, Abolfazl.
    In: IJERPH.
    RePEc:gam:jijerp:v:17:y:2020:i:7:p:2473-:d:341541.

    Full description at Econpapers || Download paper

  37. Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment. (2020). Chen, Wei ; Nhu, Viet-Ha ; Al-Ansari, Nadhir ; Clague, John J ; Nguyen, Hoang ; Shahabi, Himan ; Ahmad, Baharin Bin ; Mohammadi, Ayub ; Shirzadi, Ataollah ; Jaafari, Abolfazl.
    In: IJERPH.
    RePEc:gam:jijerp:v:17:y:2020:i:14:p:4933-:d:382054.

    Full description at Econpapers || Download paper

  38. Learning Preferences in a Spatial Multiple Criteria Decision Approach: An Application in Public Security Planning. (2019). Figueiredo, Ciro ; Mota, Caroline.
    In: International Journal of Information Technology & Decision Making (IJITDM).
    RePEc:wsi:ijitdm:v:18:y:2019:i:04:n:s0219622019500251.

    Full description at Econpapers || Download paper

  39. GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam. (2019). Ngo, Van Liem ; Tran, Trong Hien ; Ha, Ngoc Anh ; Alek, M ; Si, Lanh ; Prakash, Indra ; Nguyen, Huu Duy ; Pham, Binh Thai ; Amini, Ata ; Nadhir, Al-Ansari.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:24:p:7118-:d:297086.

    Full description at Econpapers || Download paper

  40. Predicting Microbial Species in a River Based on Physicochemical Properties by Bio-Inspired Metaheuristic Optimized Machine Learning. (2019). Sun, Qian ; Chou, Jui-Sheng ; Truong, Dinh-Nhat ; Yu, Chang-Ping ; Susilo, Billy ; Hu, Anyi.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:24:p:6889-:d:293984.

    Full description at Econpapers || Download paper

  41. Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China. (2019). Chen, YU ; Wang, Xue ; Tan, Kun ; Xu, Kailei ; Ding, Jianwei.
    In: IJERPH.
    RePEc:gam:jijerp:v:16:y:2019:i:3:p:511-:d:205052.

    Full description at Econpapers || Download paper

  42. Delineation of Groundwater Potential Zones of Coastal Groundwater Basin Using Multi-Criteria Decision Making Technique. (2016). Munusamy, Selva Balaji ; Sahoo, Satiprasad ; Mishra, Prasanta K ; Dhar, Anirban ; Kar, Amlanjyoti ; Mandal, Uday ; Panda, Sudhindra N.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:30:y:2016:i:12:d:10.1007_s11269-016-1421-8.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-10-05 22:55:45 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.