Paper Title :Heterogeneous Multi-Classifier Method Based on Weighted Voting for Breast Cancer Detection

Author :Ali Ahmed, Omer M. Barukab, Muawia A. Elsadig

Article Citation :Ali Ahmed ,Omer M. Barukab ,Muawia A. Elsadig , (2019 ) " Heterogeneous Multi-Classifier Method Based on Weighted Voting for Breast Cancer Detection " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 46-51, Volume-7,Issue-4

Abstract : Parents and teachers in Taiwan attach great importance to mathematics education, but most students are suffering from learning strategies. Therefore, Tsai Kun-Lung gifted mathematics systemdevelops “hospital evaluation system” to provide computer systems to detect learning status and effectiveness, and to develop teaching materials and teaching aids. Through the results of the pre-test to analyze its advantages and weakness, the teacher provides appropriate teaching methods and teaching aids, so that students can easily learn the mathematical concepts and apply them in life. After four months, the final post-test result showed that the degree of students improved significantly. It proves that the set of the teaching model is benefit for students. Keyword - Adaptive Education, Tsai Kun-Lung Gifted Mathematics System, Mathematics Teaching Aids

Type : Research paper

Published : Volume-7,Issue-4

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