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64 та иш

Иш: Mitigating coastal flood risks in the Sundarbans: A combined InVEST and machine learning approach

  1. Support-vector networks

    Corinna Cortes, Vladimir Vapnik

    Мақола19958 иқтибос
    ABI
  2. Dataset of stable isotopes of precipitation in the Eurasian continent

    Longhu Chen, Qinqin Wang, Guofeng Zhu +7

    Мақола20248 иқтибос
    ABI
  3. Self-aeration development and fully cross-sectional air diffusion in high-speed open channel flows

    Wangru Wei, Weilin Xu, Jun Deng +1

    Мақола20226 иқтибос
    ABI
  4. Spatial Negative Co-Location Pattern Directional Mining Algorithm with Join-Based Prevalence

    Guoqing Zhou, Zhenyu Wang, Qi Li

    Мақола20224 иқтибос
    ABI
  5. Influence of mountain orientation on precipitation isotopes in the westerly belt of Eurasia

    Longhu Chen, Guofeng Zhu, Qin Qin Wang +9

    Мақола20244 иқтибос
    ABI
  6. Devanagri character recognition model using deep convolution neural network

    Shrawan Ram, Shloak Gupta, Basant Agarwal

    Мақола20183 иқтибос
    ABI
  7. Environment, Development, and Sustainability

    Vir Singh

    Боб20243 иқтибос
    ABI
  8. Prediction of bedload transport inside vegetation canopies with natural morphology

    Li He, Yuqi Shan, Chao Liu +3

    Мақола20243 иқтибос
    ABI
  9. A Methodology for Modeling Coastal Space for Global Assessment

    Loraine McFadden, Robert J. Nicholls, Athanasios T. Vafeidis +1

    Мақола20072 иқтибос
    ABI