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21 та иш

Иш: CROP PRODUCTION UNDER DIFFERENT CLIMATIC CONDITIONS BY ANALYZING AGRICULTURAL DATA USING MULTIPLE LINEAR REGRESSION, WINTER HOLT, AND ARTIFICIAL INTELLIGENCE

  1. Perspectives of use of agricultural drones in Uzbekistan

    S M Mirzaliev, Hamdam Homidov, Конгратбай Шарипов +1

    МақолаMedical and Agricultural Research StudiesIOP Conference Series Earth and Environmental Science20226 иқтибос
    ABI

  2. Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance

    Md Manjurul Ahsan, M. A. Parvez Mahmud, Pritom Saha +2

    Мақола20216 иқтибос
    ABI

  3. A new metric of absolute percentage error for intermittent demand forecasts

    Sung‐Il Kim, Heeyoung Kim

    Мақола20164 иқтибос
    ABI

  4. Improvement of heart attack prediction by the feature selection methods

    Hidayet Takçı

    Мақола20182 иқтибос
    ABI

  5. An ensemble based on distances for a kNN method for heart disease diagnosis

    Alberto Palacios Pawlovsky

    Мақола20182 иқтибос
    ABI

  6. Identification of significant features and data mining techniques in predicting heart disease

    Mohammad Shafenoor Amin, Yin Kia Chiam, Kasturi Dewi Varathan

    Мақола20182 иқтибос
    ABI

  7. Analysis of the provision of agricultural production with the help of Markov processes

    Sayyora Qulmatova, O. K. Hatamov

    Мақола20222 иқтибос
    ABI

  8. Prediction of kiwifruit firmness using fruit mineral nutrient concentration by artificial neural network (ANN) and multiple linear regressions (MLR)

    Ali Mohammadi ‎Torkashvand, Abbas Ahmadi, Niloofar Layegh Nikravesh

    Мақола20172 иқтибос
    ABI

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