Hasil Pencarian - Azhar Inam

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  1. 1
    Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience

    Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience oleh Jordan M. Carper, Mohammad Reza Alizadeh, Jan F. Adamowski, Azhar Inam, Julien J. Malard

    Diterbitkan 2021-06-01
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  2. 2
    Serious Games as Planning Support Systems: Learning from Playing Maritime Spatial Planning Challenge 2050

    Serious Games as Planning Support Systems: Learning from Playing Maritime Spatial Planning Challenge 2050 oleh Steven Jean, Laura Gilbert, Wietske Medema, Xander Keijser, Igor Mayer, Azhar Inam, Jan Adamowski

    Diterbitkan 2018-12-01
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  3. 3
    Using Ensembles of Machine Learning Techniques to Predict Reference Evapotranspiration (ET<sub>0</sub>) Using Limited Meteorological Data

    Using Ensembles of Machine Learning Techniques to Predict Reference Evapotranspiration (ET<sub>0</sub>) Using Limited Meteorological Data oleh Hamza Salahudin, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Muhammad Hammad, Ali Raza, Alamgir Akhtar, Muhammad Usman Ali

    Diterbitkan 2023-08-01
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  4. 4
    Hydroclimatology of the Chitral River in the Indus Basin under Changing Climate

    Hydroclimatology of the Chitral River in the Indus Basin under Changing Climate oleh Zain Syed, Shakil Ahmad, Zakir Hussain Dahri, Muhammad Azmat, Muhammad Shoaib, Azhar Inam, Muhammad Uzair Qamar, Syed Zia Hussain, Sarfraz Ahmad

    Diterbitkan 2022-02-01
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  5. 5
    GIS-Based Analytical Hierarchy Process for Identifying Groundwater Potential Zones in Punjab, Pakistan

    GIS-Based Analytical Hierarchy Process for Identifying Groundwater Potential Zones in Punjab, Pakistan oleh Maira Naeem, Hafiz Umar Farid, Muhammad Arbaz Madni, Raffaele Albano, Muhammad Azhar Inam, Muhammad Shoaib, Muhammad Shoaib, Tehmena Rashid, Aqsa Dilshad, Akhlaq Ahmad

    Diterbitkan 2024-09-01
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  6. 6
    Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan

    Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan oleh Muhammad Tariq Khan, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam, Hamza Salahudin, Muhammad Hammad, Shakil Ahmad, Muhammad Usman Ali, Sarfraz Hashim, Muhammad Kaleem Ullah

    Diterbitkan 2023-02-01
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