Abstract: When object detection is carried out in settings with sparse and irregular data acquisition, conventional sequencing techniques that depend on continuous tracking or dense observations ...
Abstract: In this Research, five different predictive models for GDP in Iraq were compared using artificial intelligence algorithms, specifically the Light Gradient Boosting Machine (LightGBM), ...
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
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