Browsing by Subject "Random forest"

Browsing by Subject "Random forest"

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  • AI Based Student Absenteeism Prediction with Personalized Recommendations: A Study in Batticaloa Manmunai West Zone 
    Mathilojana, S.; Mithushika, M.; Shandru, M. (Faculty of Applied Science University of Vavuniya Sri Lanka, 2025)
    Student absenteeism is a growing issue, especially in rural and under-resourced areas like the Manmunai West Educational Zone in Bat ticaloa, Sri Lanka. Poor attendance has a strong impact on students’ academic performance ...
  • Cardiovascular Diseases Risk in People with Mental Illnesses 
    Indika, P.G.N.S.; Dias, G.K.A. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)
    Cardiovascular diseases (CVD), including coronary heart disease, stroke, and peripheral arterial disease, are major global health concerns. Mental health disorders, such as depression, anxiety, and Post-traumatic stress ...
  • Flow-Based Ensemble Learning for Intrusion Detection in Software-Defined Networks 
    Karunarathne, K.M.G.B.C.; Dissanayaka, D.M.H.V.; Senanayake, P.S.R.P.S.; Mayuran, P.; Senthooran, V. (Korea Database Strategy Society (KDSS), 2026)
    We propose a machine learning-based intrusion detection system for SDN, considering the special vulnerability of the centralized control plane. It is trained on a publicly available dataset for SDN network traffic, which ...
  • Machine Learning Algorithms to Improve Early Diagnosis of Thyroid Disease: A Sri Lankan-Based Study 
    Senani, W.M.U.; Thirukumaran, S. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)
    Thyroid diseases are a major health, well-being, and health care problem across the world. This study proposes a new thyroid diagnosis system using efficient feature selection techniques and machine learning methods for ...
  • Omic Data in Identification of Covid-19 Vaccinated In dividuals 
    Kaluarachchi, N.C.N.; Pratheeba, J.; Yasotha, R. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)
    The COVID-19 pandemic has led to significant challenges in public health, highlighting the need for effective monitoring and identification of vaccinated individuals. This research explores the use of machine learning ...
  • Static Tamil Sign Language Recognition using Mediapipe Hand Landmark Detection and Machine Learning 
    Perera, G.V.D.P.P.; Jeyamugan, T.; Vijayakanthan, G. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)
    Sign language is essential for communication among the deaf and hard-ofhearing communities, addressing the needs of over 430 million people globally, including 34 million children. By 2050, this number is expected to surpass ...