Titlebook: Logic Based Program Synthesis and Transformation; 13th International S Maurice Bruynooghe Conference proceedings 2004 Springer-Verlag Berli

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書目名稱Logic Based Program Synthesis and Transformation影響因子(影響力)




書目名稱Logic Based Program Synthesis and Transformation影響因子(影響力)學(xué)科排名




書目名稱Logic Based Program Synthesis and Transformation網(wǎng)絡(luò)公開度




書目名稱Logic Based Program Synthesis and Transformation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Logic Based Program Synthesis and Transformation被引頻次




書目名稱Logic Based Program Synthesis and Transformation被引頻次學(xué)科排名




書目名稱Logic Based Program Synthesis and Transformation年度引用




書目名稱Logic Based Program Synthesis and Transformation年度引用學(xué)科排名




書目名稱Logic Based Program Synthesis and Transformation讀者反饋




書目名稱Logic Based Program Synthesis and Transformation讀者反饋學(xué)科排名

混合,攙雜

José Luis Ruiz-Reina,José Antonio Alonso-Jiménez,María José Hidalgo,Francisco Jesús Martín-Mateos

Strength

John P. Gallagherently on the market focuses solely on the newborn, and .Kidney and Urinary Tract Diseases in the Newborn. will be especially valuable to those undergoing fellowship training in neonatology or pediatric nephrology/urology..978-3-662-52077-2978-3-642-39988-6

命令變成大炮

BRAVE

reaching

Tjark Weber,James Caldwellently on the market focuses solely on the newborn, and .Kidney and Urinary Tract Diseases in the Newborn. will be especially valuable to those undergoing fellowship training in neonatology or pediatric nephrology/urology..978-3-662-52077-2978-3-642-39988-6

tariff

Tetsuo Yokoyama,Zhenjiang Hu,Masato Takeichis Na.-K.-ATPase, cross-reacts against digoxin antibodies, and displaces tritiated ouabain from the surface of red cells. Others, including ourselves, would agree with the first group that there is a substance of small molecular weight present in plasma and urine which inhibits Na.-K.-ATPase (5), but

Fermentation

Costume

Sandra Alves,Mário Floridowas applied to balance the sample distribution. The PCA and XGBoost techniques were utilized to select dominant features. To detect dyslexic and non-dyslexic classes, various machine learning classifiers like SVM, Naive Bayes, Logistic Regression, Decision Trees, and Neural Networks were trained usi

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