Browsing Faculty of Applied Science by Subject "Machine Learning"

Browsing Faculty of Applied Science by Subject "Machine Learning"

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  • Design and Development of Weigh-In-Motion Using Vehicular Telematics 
    Kirushanth, S.; Kabaso, B. (Hindawi, 2020)
    Identifying overloaded vehicles on a highway is essential for the safety of vehicles on the road as well as for the performance monitoring of highway infrastructure and planning. Traffic enforcement uses various weigh-in-motion ...
  • Identification of autism spectrum disorder stage using ordinal logistic LASSO regression 
    Karunathilake, T.G.I.M. (Faculty of Applied Science, 15-09-21)
    Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects communication, social interaction, and behavioural skills. ASD affects children at the age of two years old and continues lifelong. Occurrences ...
  • Weigh-in-motion using machine learning and telematics 
    Kirushanth, S.; Kabaso, B. (IEEE, 2018-07-24)
    Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without ...
  • Weigh-in-motion Using Machine Learning and Telematics 
    Kirushnath, S.; Kabaso, B. (IEEE, 2018-07-24)
    Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without ...

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