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Иш: In-stream Escherichia Coli Modeling Using high-temporal-resolution data with deep learning and process-based models

  1. River flow forecasting through conceptual models part I — A discussion of principles

    J.E. Nash, J. V. Sutcliffe

    Мақола197020 иқтибос
    ABI
  2. Learning representations by back-propagating errors

    David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams

    Мақола198615 иқтибос
    ABI
  3. A Fast Learning Algorithm for Deep Belief Nets

    Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh

    Мақола20068 иқтибос
    ABI
  4. SciPy 1.0: fundamental algorithms for scientific computing in Python

    Pauli Virtanen, Ralf Gommers, Travis E. Oliphant +32

    Шарҳ мақола20194 иқтибос
    ABI
  5. Could Big Data be the end of theory in science?

    Fulvio Mazzocchi

    Мақола20154 иқтибос
    ABI
  6. Weighted linear regression for symbolic interval-values data with outliers

    Chen‐Chia Chuang, C.M. Wang, Chih-Wen. Li

    Мақола20104 иқтибос
    ABI
  7. Escherichia coli as an indicator of bacteriological quality of water: an overview

    Stephen T. Odonkor, Joseph K. Ampofo

    Мақола20134 иқтибос
    ABI
  8. Newton-Type Minimization via the Lanczos Method

    Stephen G. Nash

    Мақола19844 иқтибос
    ABI
  9. Watershed-Scale Fate and Transport of Bacteria

    David A. Chin, Donna Sakura-Lemessy, David D. Bosch +1

    Мақола20094 иқтибос
    ABI
  10. 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
  11. Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment

    Minjeong Kim, Laurie Boithias, Kyung Hwa Cho +8

    Мақола20174 иқтибос
    ABI