Search Results - Costache R.

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  1. 1
    Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania

    Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania by Diaconu D.C., Costache R., Towfiqul Islam A.R.M., Pandey M., Pal S.C., Mishra A.P., Pande C.B.

    Published 2025
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  2. 2
    Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India

    Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India by Pande C.B., Costache R., Sammen S.S., Noor R., Elbeltagi A.

    Published 2024
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  3. 3
    Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India

    Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India by Pandey A., Parashar D., Palni S., Sarkar M.S., Mishra A.P., Singh A.P., Costache R., Abdulqadim T.J., Pande C.B., Tolche A.D., Khan M.Y.A.

    Published 2025
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  4. 4
    Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective

    Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective by Rashid M., Haider S., Masood M.U., Pande C.B., Tolche A.D., Alshehri F., Costache R., Elkhrachy I.

    Published 2024
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  5. 5
    Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development

    Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development by Pande C.B., Egbueri J.C., Costache R., Sidek L.M., Wang Q., Alshehri F., Din N.M., Gautam V.K., Chandra Pal S.

    Published 2025
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  6. 6
    Using GIS, remote sensing, and machine learning to highlight the correlation between the land-use/land-cover changes and flash-flood potential

    Using GIS, remote sensing, and machine learning to highlight the correlation between the land-use/land-cover changes and flash-flood potential by Costache R., Pham Q.B., Corodescu-Ro?ca E., C�mpianu C., Hong H., Thuy Linh N.T., Fai C.M., Ahmed A.N., Vojtek M., Pandhiani S.M., Minea G., Ciobotaru N., Popa M.C., Diaconu D.C., Pham B.T.

    Published 2023
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  7. 7
    Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios

    Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios by Haider S., Masood M.U., Rashid M., Alshehri F., Pande C.B., Katipo?lu O.M., Costache R.

    Published 2024
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  8. 8
    Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques

    Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques by Shelar R.S., Nandgude S.B., Pande C.B., Costache R., El-Hiti G.A., Tolche A.D., Son C.T., Yadav K.K.

    Published 2024
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  9. 9
    Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning

    Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning by Costache R., Pal S.C., Pande C.B., Islam A.R.M.T., Alshehri F., Abdo H.G.

    Published 2025
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