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7 results for "Machine Learning"
  This study aimed to illustrate how to exploit George Lakoff and Mark Johnson’s concepts presented in their book “Metaphors We Live By” to teach metaphors to second-year baccalaureate educators in th
Alzheimer DiseaseRandom ForestEntropy-based Subset SelectionMachine Learning.
This research analyses the implementation of Islamic education management values ​​in community service by lecturers and students of the Islamic Education Management Department in Maluku. Using qualit
AsthmaRegression TreeEntropy-based Subset SelectionMachine Learning
The  integration  of  artificial  intelligence  (AI)  training  tools  in military  sports  has  revolutionized  how  military  athletes  prepare  for competitive  events. AI  technologies  can  analy
swimming trainingCOMPETITIVE SWIMMING TRAINING
The COVID-19 pandemic has exacerbated existing challenges in the UK healthcare system, including rising healthcare costs, inefficiencies in resource allocation, and the need for additional financing t
Physical EducationbasketballKaren modelmental fitnessinnovative thinking.
Heart disease remains a major global health issue, which emphasizes the need for accurate prediction models to aid early diagnosis and effective intervention. This study explores the use of a Decision
Decision TreeHeart DiseasePrediction.
Alzheimer Disease (AD) is a neurogenerative disorder that progressively damages the nervous system. Early detection of AD is crucial, as it allows patients to receive therapy at an earlier stage, help
Alzheimer DiseaseRandom ForestEntropy-based Subset SelectionMachine Learning.
Predicting household energy consumption is becoming increasingly important as we strive to manage energy costs and support environmental sustainability. This study takes a close look at how the random
Random ForestPredictionEnergy ConsumptionComparisonMachine LearningAccuracy.