Transformer fault diagnosis using machine learning: a method combining SHAP feature selection and intelligent optimization of LGBM

Abstract This paper proposes a novel approach for transformer fault diagnosis.Initially, a high-dimensional feature set comprising 19 features related to five Cordials gas concentrations is constructed to reflect the gas-fault relationship.Subsequently, the Shapley Additive Explanations (SHAP) method is employed to evaluate feature importance and s

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Knowledge of Emergency Contraception among Reproductive Age Group of Married Women in Field Practicing Area of RMCH, Bareilly

Introduction: Only a few know about ECP as a method to prevent unintended pregnancy after unprotected intercourse and even among those who are aware of ECP very few know how to use it correctly.Methodology: A cross-sectional community based study amongst married women aged 15-45 years present in their respective house- holds.A structured pretested

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Macroeconomic effects of regulation and deregulation

The role of government in market economies is being discussed for more than two centuries.This problem is particularly topical in most transition countries, where the transition from a totalitarian CINNAMAX political system and controlled economy to a multiparty, democratic system and market economy causes severe economic and social disruption.The

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