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Иш: In-stream <i>Escherichia coli</i> modeling using high-temporal-resolution data with deep learning and process-based models

  1. Comparison of CANWET and HSPF for water budget and water quality modeling in rural Ontario

    S. I. Ahmed, Amanjot Singh, Ramesh Rudra +1

    Мақола20134 иқтибос
    ABI
  2. Efficient Processing of Deep Neural Networks: A Tutorial and Survey

    Vivienne Sze, Yu‐Hsin Chen, Tien-Ju Yang +1

    Мақола20174 иқтибос
    ABI
  3. Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment

    Minjeong Kim, Laurie Boithias, Kyung Hwa Cho +8

    Мақола20174 иқтибос
    ABI
  4. Microbial Water Quality: Monitoring and Modeling

    Yakov Pachepsky, Ana Allende, Laurie Boithias +4

    Мақола20184 иқтибос
    ABI
  5. Process‐Guided Deep Learning Predictions of Lake Water Temperature

    Jordan S. Read, Xiaowei Jia, Jared Willard +9

    Мақола20194 иқтибос
    ABI
  6. An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction

    Quanxi Dong, YongZhe Lin, Jing Bi +1

    Мақола20194 иқтибос
    ABI
  7. A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

    Zhongrun Xiang, Jun Yan, İbrahim Demir

    Мақола20204 иқтибос
    ABI
  8. New Methods for Microbiological Monitoring at Riverbank Filtration Sites

    Yasmin Adomat, Gerit-Hartmut Orzechowski, Marc Pelger +5

    Мақола20204 иқтибос
    ABI
  9. WHY MODEL?

    S. E. VAN DER LEEUW

    Мақола20044 иқтибос
    ABI
  10. Rural:urban inequalities in post 2015 targets and indicators for drinking-water

    Robert Bain, Jim Wright, Elizabeth Christenson +1

    Мақола20143 иқтибос
    ABI
  11. Predictive Analysis of Water Quality Parameters using Deep Learning

    Archana Solanki, Himanshu Agrawal, Kanchan Khare

    Мақола20153 иқтибос
    ABI