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español Este estudio tiene como objetivo desarrollar un marco explicable de aprendizaje automático para predecir la resistencia a compresión a 28 días del hormigón autocompactante de agregados reciclados (RA-SCC) utilizando indicadores de empaquetado de partículas. Se analizó un conjunto de datos que comprendía 365 mezclas de 102 estudios utilizando seis modelos de regresión, aplicando SHapley Additives ExPlanations (SHAP) para su interpretabilidad.
{"_id":"5ecbef708ebc3e902627026e","slug":"pintu-yadav-dosti-ka-mahatva","type":"story","status":"publish","title_hn":"\u0926\u094b\u0938\u094d\u0924\u0940","category":{"title":"Mere Alfaz","title_hn":"\u092e\u0947\u0930\u0947 \u0905\u0932\u094d\u092b\u093e\u091c\u093c","slug":"mere-alfaz"}} तेरी तकलीफे तू बताता नहीं ,पर सुख दुख मेरे बांट लेता है तू खुदा से बेहतर है ए दोस्त ,वो भी अमूमन मिन्नते मेरी छांट देता है - हमें विश्वास है कि हमारे पाठक स्वरचित रचनाएं ही इस कॉलम के तहत प्रकाशित होने के...
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