Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 37

1.

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study.

Arabameri A, Blaschke T, Pradhan B, Pourghasemi HR, Tiefenbacher JP, Bui DT.

Sensors (Basel). 2020 Jan 7;20(2). pii: E335. doi: 10.3390/s20020335.

2.

Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh.

Hoque MA, Pradhan B, Ahmed N.

Sci Total Environ. 2020 Feb 25;705:135957. doi: 10.1016/j.scitotenv.2019.135957. Epub 2019 Dec 5.

PMID:
31841918
3.

Fog-water harvesting Capability Index (FCI) mapping for a semi-humid catchment based on socio-environmental variables and using artificial intelligence algorithms.

Karimidastenaei Z, Torabi Haghighi A, Rahmati O, Rasouli K, Rozbeh S, Pirnia A, Pradhan B, Kløve B.

Sci Total Environ. 2020 Mar 15;708:135115. doi: 10.1016/j.scitotenv.2019.135115. Epub 2019 Nov 20.

PMID:
31787309
4.

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review.

Arshad B, Ogie R, Barthelemy J, Pradhan B, Verstaevel N, Perez P.

Sensors (Basel). 2019 Nov 16;19(22). pii: E5012. doi: 10.3390/s19225012. Review.

5.

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods.

Chen W, Li Y, Xue W, Shahabi H, Li S, Hong H, Wang X, Bian H, Zhang S, Pradhan B, Ahmad BB.

Sci Total Environ. 2020 Jan 20;701:134979. doi: 10.1016/j.scitotenv.2019.134979. Epub 2019 Nov 2.

PMID:
31733400
6.

Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

Mohammadinia A, Saeidian B, Pradhan B, Ghaemi Z.

BMC Infect Dis. 2019 Nov 13;19(1):971. doi: 10.1186/s12879-019-4580-4.

7.

A Novel Swarm Intelligence-Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility.

Bui DT, Moayedi H, Kalantar B, Osouli A, Pradhan B, Nguyen H, Rashid ASA.

Sensors (Basel). 2019 Aug 17;19(16). pii: E3590. doi: 10.3390/s19163590.

8.

Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data.

Lay US, Pradhan B, Yusoff ZBM, Abdallah AFB, Aryal J, Park HJ.

Sensors (Basel). 2019 Aug 7;19(16). pii: E3451. doi: 10.3390/s19163451.

9.

Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh.

Hoque MA, Pradhan B, Ahmed N, Roy S.

Sci Total Environ. 2019 Nov 20;692:10-22. doi: 10.1016/j.scitotenv.2019.07.132. Epub 2019 Jul 9.

PMID:
31336296
10.

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility.

Arabameri A, Yamani M, Pradhan B, Melesse A, Shirani K, Tien Bui D.

Sci Total Environ. 2019 Oct 20;688:903-916. doi: 10.1016/j.scitotenv.2019.06.205. Epub 2019 Jun 20.

PMID:
31255826
11.

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).

Tien Bui D, Shirzadi A, Shahabi H, Chapi K, Omidavr E, Pham BT, Talebpour Asl D, Khaledian H, Pradhan B, Panahi M, Bin Ahmad B, Rahmani H, Gróf G, Lee S.

Sensors (Basel). 2019 May 29;19(11). pii: E2444. doi: 10.3390/s19112444.

12.

A Novel Rule-based Approach In Mapping Landslide Susceptibility.

Roodposhti MS, Aryal J, Pradhan B.

Sensors (Basel). 2019 May 16;19(10). pii: E2274. doi: 10.3390/s19102274.

13.

Aquifer Potential Assessment in Termites Manifested Locales Using Geo-Electrical and Surface Hydraulic Measurement Parameters.

Ahmed Ii JB, Pradhan B, Mansor S, Yusoff ZM, Ekpo SA.

Sensors (Basel). 2019 May 7;19(9). pii: E2107. doi: 10.3390/s19092107.

14.

MODIS Derived Sea Surface Salinity, Temperature, and Chlorophyll-a Data for Potential Fish Zone Mapping: West Red Sea Coastal Areas, Saudi Arabia.

Daqamseh ST, Al-Fugara A, Pradhan B, Al-Oraiqat A, Habib M.

Sensors (Basel). 2019 May 3;19(9). pii: E2069. doi: 10.3390/s19092069.

15.

Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential.

Naghibi SA, Dolatkordestani M, Rezaei A, Amouzegari P, Heravi MT, Kalantar B, Pradhan B.

Environ Monit Assess. 2019 Mar 27;191(4):248. doi: 10.1007/s10661-019-7362-y.

PMID:
30919064
16.

Assessing Spatial Flood Vulnerability at Kalapara Upazila in Bangladesh Using an Analytic Hierarchy Process.

Hoque MA, Tasfia S, Ahmed N, Pradhan B.

Sensors (Basel). 2019 Mar 15;19(6). pii: E1302. doi: 10.3390/s19061302.

17.

Flood Hazard Assessment of the Urban Area of Tabuk City, Kingdom of Saudi Arabia by Integrating Spatial-Based Hydrologic and Hydrodynamic Modeling.

Abdelkarim A, Gaber AFD, Youssef AM, Pradhan B.

Sensors (Basel). 2019 Feb 28;19(5). pii: E1024. doi: 10.3390/s19051024.

18.

Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system.

Ahmed AA, Pradhan B.

Environ Monit Assess. 2019 Feb 26;191(3):190. doi: 10.1007/s10661-019-7333-3.

PMID:
30809746
19.

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination.

Sajedi-Hosseini F, Malekian A, Choubin B, Rahmati O, Cipullo S, Coulon F, Pradhan B.

Sci Total Environ. 2018 Dec 10;644:954-962. doi: 10.1016/j.scitotenv.2018.07.054. Epub 2018 Jul 11.

PMID:
30743892
20.

Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria.

Alilou H, Rahmati O, Singh VP, Choubin B, Pradhan B, Keesstra S, Ghiasi SS, Sadeghi SH.

J Environ Manage. 2019 Feb 15;232:22-36. doi: 10.1016/j.jenvman.2018.11.019. Epub 2018 Nov 20.

PMID:
30466009

Supplemental Content

Loading ...
Support Center