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Browsing by Author "Kumara, B.T.G.S."

Browsing by Author "Kumara, B.T.G.S."

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  • Comparative Analysis between K-mean and EM Clustering for Investigate Appropriate Algorithm for Landslide Risk Evaluation 
    Madawala, C.N.; Kumara, B.T.G.S. (4th International Conference on Advances in Computing and Technology (ICACT ‒ 2019), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2019)
    Irregular development activities on mountains and inadequate attention to construction aspects have led to increasing of landslide and sustaining damages to lives and properties. Within the study area, nearly 3275 sq.km ...
  • A data mining approach for the analysis of undergraduate examination question papers 
    Brahmana, A.; Kumara, B.T.G.S.; Liyanage, A.L.C.J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Examinations play a major role in the teaching, learning and assessment process. Questions are used to obtain information and assess knowledge and competence of students. Academics who are involved in teaching process in ...
  • Data mining model for identifying high-quality journals 
    Jayaneththi, J.K.D.B.G.; Kumara, B.T.G.S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    The focus in local universities over the last decade, have shifted from teaching at undergraduate and postgraduate levels to conducting research and publishing in reputed local and international journals. Such publications ...
  • Database Management System Deployment on Docker Containerization for Distributed Systems 
    Kithulwatta, W.M.C.J.T.; Jayasena, K.P.N.; Kumara, B.T.G.S.; Rathnayaka, R.M.K.T. (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)
    Containerization is a novel technology that brings an alternative for virtualization. Due to the most infrastructure-based features, most computer system administration engineers use Docker as the infrastructure level ...
  • Effectiveness of Machine Learning Algorithms on Battling Counterfeit Items in E-commerce Marketplaces 
    Gunawardhana, Kalinga; Kumara, B.T.G.S.; Rathnayake, R.M.K.T.; Jayaweera, Prasad M. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    For e-commerce marketplaces, counterfeit goods are a major issue since they endanger public safety in addition to causing customer unhappiness and revenue loss. Traditional techniques to identify fake goods in online ...
  • A Machine Learning Influenced Recommendation System for Predicting the Rainfall and Price for Crops in Badulla District 
    Nandasiri, K.P. Sasindu Madushan; Banujan, Kuhaneswaran; Kumara, B.T.G.S.; Jayasinghe, Sadeeka; Ekanayake, E.M.U.W.J.B.; Senthan, Prasanth (Faculty of Computing and Technology, University of Kelaniya Sri Lanka, 2022)
    Every day, agriculture becomes more vital to the global economy. Daily population expansion necessitates substantial crop output for human existence. But as the population has increased, human activity has also altered the ...
  • Pedestrian detection using image processing for an effective traffic light controlling system 
    Chathumini, K.G.L.; Kumara, B.T.G.S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Traffic congestion and road pedestrian accident are the two major issues that the Sri Lankan society faced toady. These two issues can be reduced by use of traffic light controlling system in an effective way. This research ...
  • The Role of Social Media (Twitter) in Analysing Home Violence: A Machine Learning Approach 
    Adeeba, Saleem; Banujan, Kuhaneswaran; Kumara, B.T.G.S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Home Violence (HV) has been a persistent issue across the globe, transcending economic status and cultural boundaries. The COVID-19 pandemic has further exacerbated this problem, bringing it to the forefront of public ...
  • Social media mining for post-disaster management - A case study on Twitter and news 
    Banujan, K.; Kumara, B.T.G.S.; Incheon Paik (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    A natural disaster is a natural event which can cause damage to both lives and properties. Social media are capable of sharing information on a real-time basis. Post disaster management can be improved to a great extent ...
  • Stack Ensemble Model to Detect the Stress in Humans by Considering the Sleeping Habits 
    Kanagarathnam, Mauran; Premisha, P.; Prasanth, Senthan; Banujan, Kuhaneswaran; Kumara, B.T.G.S. (Faculty of Computing and Technology, University of Kelaniya Sri Lanka, 2022)
    Recently, one of the big challenges encountered by humans is experiencing and managing stress. Beyond the age restriction, people of all ages, from teenagers to seniors, experience issues as a result of stress. Acute and ...

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