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                <text>Deployment of Smart Grid is neither a goal nor a destination, but rather an enabler to the provision of reliable, secured and clean electricity for the end- user or consumer. Overall Smart Grid vision is very well explained with the future of electricity systems, which largely depends on digitization and automation of the overall electricity value-chain, by enhancing electric power information to bi-directional flow and the provision of services that can support the operations of the generation, distribution and end-user usage of power can lead to improvement of electric power system efficiency. This work aims at analyzing factors and forecast effects on the adoption of Smart Grid in Ghana using Pattern Recognition Neural Net. The Primary data was collected using structured questionnaire and the questions were designed to test the perception of consumers on the deployment of Smart Grid. Also, the target group of …</text>
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                <text>Age and gender as determinants of academic achievements in college mathematics</text>
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                <text>R Bada Abubakar, Ibrahim Adegboyega Bada</text>
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                <text>Mathematics Education occupies a central position to all disciplines. This study considered age and gender as determinants of academic achievement (CGPA) of Mathematics students. The study used thirty eight (38) females and forty (40) males giving a total sample of seventy eight (78). Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regressions were used for the inferential statistics. T-test was used to test the null hypothesis formulated (P&lt; 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r= 0.142 and 0.004) which were not significant. The predictor variables jointly accounted for 2.1% of the variance, age was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant correlation of students’ academic achievement of Mathematics students.</text>
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                <text>R Bada Abubakar, O Dokubo Oguguo</text>
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                <text>This study examined the correlates between age and gender on academic achievement (CGPA) of Mathematics and Science students. The study used three hundred and thirty-two (332) students; two hundred and twenty-three (223) females and one hundred and nine (109) males. Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regression were used for the inferential statistics. Z-test was used to test the null hypothesis formulated (P&lt; 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r= 0.030 and 0.111) which significant. The predictor variables jointly accounted for 1.3% of the variance, gender was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant contributory effect of students academic achievement of Mathematics students.</text>
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                <text>Age and Gender as predictors of Academic Achievement of College Mathematics and Science Students, in" Instructional conference on teaching, learning and change</text>
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                <text>The application of natural language processing (NLP) methods to designing conversational frameworks for health diagnosis improves patients’ access to medical information. An Android application based on fuzzy logic rules and fuzzy inference was created in this research. In Ghana, the service assesses the symptoms of diseases. The android application is built with the Support Vector Machine learning technique, with the aim of improving the model’s accuracy and performance. Natural Language Processing is often used by the machine to achieve the conversational style of asking the users for their symptoms. People can spend less time in hospitals and get low-cost or free care by using this technique, which is mainly used in Ghana’s rural areas.</text>
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                <text>2021</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=QRyINJYAAAAJ&amp;amp;citation_for_view=QRyINJYAAAAJ:YsMSGLbcyi4C</text>
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