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Browsing by Subject "Machine learning"

Browsing by Subject "Machine learning"

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  • Analysis and detection of potentially harmful Android applications using machine learning 
    Kavneth, G.A.S.; Jayalal, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    With the rapid advancement of technology today, smartphones have become more and more powerful and attract a huge number of users with new features provided by mobile device operating systems such as Android and iOS. Android ...
  • An assessment of machine learning-based training tools to assist Dyslexic patients 
    Sathsara, G.W.C.; Rupasinghe, T.D.; Sumanasena, S.P. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Dyslexia is a language based disability, where the patients often have difficulties with reading, spelling, writing and pronouncing words. The reading speed of Dyslexics tend to be lower than their equivalents, because of ...
  • Code Vulnerability Identification and Code Improvement Methods using Advanced Machine Learning 
    Ruggahakotuwa, L.O.; Liyanage, S.R. (International Postgraduate Research Conference 2019, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2019)
    Dealing with cyber-attacks has become a routine task of modern information systems. The misconfigurations of source code can result in security vulnerabilities that potentially encourage attackers to exploit them and ...
  • Detection of cyber bullying on social media networks 
    Priyangika. S.; Jayalal, S. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    Social Media is becoming an integral part of people’s daily lives today. It is an effective way of sharing one’s life experiences, special occasions, achievements and other events with their friends and family. Although ...
  • Distribution cost optimization using Big Data Analytics, Machine Learning and Computer Simulation for FMCG Sector 
    Adikari, A.M. C.; Amalan, T. P. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Developments in information and communication technology has made significant impact on every sector. Unfortunately, limited research exists regarding information systems for the distribution networks in Supply Chain. ...
  • Generalizability of Music Emotion Classifiers: An Evaluation of the Applicability of miremotion in Emotion Classification of Sri Lankan Folk Melodies 
    Charles, J.; Lekamge, S. (4th International Research Symposium on Pure and Applied Sciences, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Music conveys and evokes powerful emotions, owing to various musical characteristics such as rhythm, melody, and orchestration. This amazing ability has motivated the researchers worldwide to discover relationships between ...
  • Global trends of machine learning applications in psychiatric research over 30 years: A bibliometric analysis 
    Baminiwatta, A. (Elsevier Ltd, 2022)
    This bibliometric analysis aimed to identify active research areas and trends in machine learning applications within the psychiatric literature. An exponential growth in the number of related publications indexed in Web ...
  • Language identification at word level in Sinhala-English code-mixed social media text 
    Shanmugalingam, K.; Sumathipala, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Automatic analyzing and extracting useful information from the noisy social media content are currently getting attention from the research community. It is common to find people easily mixing their native language along ...
  • Machine learning based model for Android malware analysis and detection. 
    Kavneth, G. A. S.; Jayalal, S. (International Research Symposium on Pure and Applied Sciences, 2017 Faculty of Science, University of Kelaniya, Sri Lanka., 2017)
    Rapid advancement of technology has enabled smartphones to become extremely powerful. They are capable of attracting a considerable amount of users with new features provided by mobile device operating systems such as ...
  • A study on classifying the store positioning from the transactional data 
    Takahashi, M.; Tanaka, Y. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    This paper describes a customer analysis for store positioning, using data gathered from supermarkets in Japan. Among the retail industry in Japan, there are many types of reward cards used for customer retention purposes. ...
  • Use of LIME for Human interpretability in Sinhala document classification 
    Kumari, P. K. S.; Haddela, P.S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    With advancement of technology in Sri Lanka, use of Sinhala text usage has grown rapidly over the time where automatic categorization is helpful for efficient content management. As a result, experts tend to use machine ...
  • WatchDog: An Advanced Surveillance System 
    Ganepola, G.A.U.E.; Wijayasiriwardhane, T.K. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    Surveillance systems have become an integral part of the business world today due to the intensive care given to ensure the security of properties with a considerable monetary value. As a result, Closed-Circuit Television ...

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