Predicting Car Mileage per Gallon

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars

ANN Car Mileage per Gallon Prediction

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars

Artificial Neural Network for Forecasting Car Mileage per Gallon in the City

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars

Knowledge and Practices of Menstrual Hygiene among Adolescent Schoolgirls in Jordanian Badia Region: A Field Study

  Abstract   Background: Normal menstrual cycle is associated with physiological and pathological changes throughout the girls’ lives. It involves physical changes in a girl's body designed to prepare her for pregnancy each month. Significant changes in a girl’s life take place during adolescence and the onset of menstruation. Aims: The study aims to assess the level of knowledge and practices of menstrual hygiene among adolescent schoolgirls in the Jordanian Badia Region. Methods: A cross-sectional study was conducted from February to March 2022. The total number of participants was 550 from six schools for girls in the Badia region. Data was collected using a questionnaire that assessed knowledge and practices of the menstrual cycle. Descriptive statistics (mean, standard deviation, frequency, percentage) and multivariable logistic regression analysis were used to determine the predictors of the level of knowledge and practice of the menstrual cycle. Results: The adolescent schoolgirls have adequate level of knowledge, represented by a percentage of 65. Furthermore, the results show that the overall level of girls’ practices was at a poor level (58%), the highest score was for”Schoolgirls should have a discussion with their mothers about menstruation and what to do during their periods”, and the lowest score was for “If she has to, she will have to change the pads at school”. Moreover, age, mothers’ highest level of education, and family income were the predictors of safe knowledge and practices of the menstrual cycle. Conclusion: Overall, the adolescent schoolgirls are reasonably knowledgeable. Additionally, the girls' overall level of practice was poor and menstrual hygiene knowledge and practices need to be improved. Therefore, health programs concerning knowledge and safe practices of menstrual cycles should be conducted in a school setting