NEAR-DROWNING EARLY PREDICTION TECHNIQUE USING NOVEL EQUATIONS (NEPTUNE) FOR SWIMMING POOLS

The Best Ensemble Learner of Bagged Tree Algorithm for Student Performance Prediction

Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques - Frontiers in Artificial Intelligence and Applications ◽

10.3233/faia200552 ◽

2020 ◽

Author(s):

Afiqah Zahirah Zakaria ◽

Ali Selamat ◽

Hamido Fujita ◽

Ondrej Krejcar

Keyword(s):

Feature Selection ◽

Student Performance ◽

Performance Prediction ◽

Early Prediction ◽

Massive Datasets ◽

Tree Algorithm ◽

Prediction Technique ◽

Responsible Person

Student performance is the most factor that can be beneficial for many parties, including students, parents, instructors, and administrators. Early prediction is needed to give the early monitor by the responsible person in charge of developing a better person for the nation. In this paper, the improvement of Bagged Tree to predict student performance based on four main classes, which are distinction, pass, fail, and withdrawn. The accuracy is used as an evaluation parameter for this prediction technique. The Bagged Tree with the addition of Bag, AdaBoost, RUSBoost learners helps to predict the student performance with the massive datasets. The use of the RUSBoost algorithm proved that it is very suitable for the imbalance datasets as the accuracy is 98.6% after implementing the feature selection and 99.1% without feature selection compared to other learner types even though the data is more than 30,000 datasets.

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Factors Contributing to Child Drownings and Near-Drownings in Residential Swimming Pools

Human Factors The Journal of the Human Factors and Ergonomics Society ◽

10.1177/001872088903100201 ◽

1989 ◽

Vol 31 (2) ◽

pp. 123-132 ◽

Cited By ~ 12

Author(s):

Gregory B. Rodgers

Keyword(s):

Risk Factors ◽

Intervention Strategies ◽

The Other ◽

Swimming Pools ◽

Factors Affecting ◽

Near Drowning ◽

Logit Regression ◽

Survey Results ◽

Development Literature ◽

Logit Regression Model

This article examines and quantifies factors affecting the risk of child drowning and near-drowning accidents in residential swimming pools. Two surveys were conducted. One survey provided information on children and pools involved in accidents; the other provided information on children exposed to the risk of drowning and their swimming environment. A logit regression model was used to analyze the survey results. The accident determinants were estimated, and risk factors calculated. The results are analyzed within the context of the child drowning and child development literature. Possible intervention strategies are discussed.

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Spreading the Word: Seasonal Changes Mean New Opportunities for Media Coverage

ASHA Leader ◽

10.1044/leader.stw.18072013.np ◽

2013 ◽

Vol 18 (7) ◽

Keyword(s):

Media Coverage ◽

Seasonal Changes ◽

Swimming Pools

Summer kicking into high gear conjures images of swimming pools and barbeques. But before you book your beach house for the weekend, think about what the changing seasons can mean for you professionally.

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