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21 ta ish

Ish: 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

    MaqolaMedical and Agricultural Research StudiesIOP Conference Series Earth and Environmental Science20226 iqtibos
    ABI

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

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

    Maqola20216 iqtibos
    ABI

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

    Sung‐Il Kim, Heeyoung Kim

    Maqola20164 iqtibos
    ABI

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

    Hidayet Takçı

    Maqola20182 iqtibos
    ABI

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

    Alberto Palacios Pawlovsky

    Maqola20182 iqtibos
    ABI

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

    Mohammad Shafenoor Amin, Yin Kia Chiam, Kasturi Dewi Varathan

    Maqola20182 iqtibos
    ABI

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

    Sayyora Qulmatova, O. K. Hatamov

    Maqola20222 iqtibos
    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

    Maqola20172 iqtibos
    ABI

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