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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Behavior & Biometrics Based Masquerade Detection Mobile Application 
    Chandrasekara, P.; Rajapaksha, S.; Abeywardana, H.; Sanjeevan, P.; Abeywardena, K. Y. (4th International Conference on Advances in Computing and Technology (ICACT ‒ 2019), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2019)
    Mobile phone has become an important asset when it comes to personal security since one’s mobile is now a virtual safe for that person. This is due to the sensitivity of the details which are stored in these devices. To ...
  • Driver Assist Traffic Signs Detection and Recognition System 
    Manisha, U.K.D.N.; Liyanage, S.R. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2016)
    Traffic signs or road signs are signs that are initiated at the roads to provide information of the overcoming behavior of the road to drivers and pedestrians. Since 1930s with the increment of the use of vehicles, road ...
  • Identification of Papaya Fruit Diseases using Deep Learning Approach 
    Munasingha, L.V.; Gunasinghe, H.N.; Dhanapala, W. W. G. D. S. (4th International Conference on Advances in Computing and Technology (ICACT ‒ 2019), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2019)
    The diseases are a major problem faced by all the farmers including fruit farmers. It is a threat for large farmlands because these diseases spread throughout the land and make the fruits inedible, which at the end impact ...
  • A Novel Computational Method to Capture FPGA Technology Trends from Patent Information. 
    Shibata, M.; Takahashi, M. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    This paper provides a novel trend analysis of FPGA development with Machine Learning. Recently, demands for the computing power are expanding due to reform of industrial structure such as the Industry 4.0 and the ...
  • Recommendations for Students in Higher Education: A Machine Learning Approach. 
    Kasthuriarachchi, K.S.T.; Liyanage, S.R. (2017)
    Educational Data Mining is a rising discipline in Data Mining setting which concentrated on creating systems for investigating one of a kind data that starts from educational settings, and utilizing those procedures to ...
  • A Review of Data Mining Methods for Educational Decision Support 
    Kasthuriarachchi, K.T.S.; Bhatt, C.M.; Liyanage, S.R. (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016)
    Data mining is a computer based information system which is devoted to scanning huge data repositories, generate information and discover knowledge. It attempts to uncover data patterns, organize information of hidden ...
  • A Simple Machine Learning Approach for Identifying Promotional Short Message Service (SMS) Messages. 
    Dias, D.S.; Dias, N.G.J. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2017)
    Mobile phones play an integral part in the modern lives of humans. Short Message Services (SMS) Messages have become a popular mode for simple communication. Its’ simplicity, costeffectiveness and large audience has ...
  • Sinhala Handwritten Postal Address Recognition for Postal Sorting 
    Ifhaam, M.F.A.; Jayalal, 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)
    Sri Lankan post office mail sorting process is done manually, even today. Though employees are well experienced, it takes considerable time and employees need to work overtime in places like Central Mail Exchange (CME). ...
  • A study on need of web based mobile application development for online fashion design selection with machine learning 
    Kithulwatta, W.M.C.J.T. (4th International Conference on Social Sciences 2018, Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2018)
    Web based mobile applications, machine learning and Artificial Intelligence (AI) are most popular trend of modern Information Technology in current society. It makes more advantage and large network with World Wide Web ...
  • A Trust Framework for Social Networks in MANET Environment 
    Mayadunna, H.; Liyanage, S.R. (International Postgraduate Research Conference 2019, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2019)
    The improvement of online social networks such as Facebook, Twitter, Instagram has been expanded the idea of using social networks wider. The utilization of mobile phones of general public that given access to social ...
  • Vehicle type validation for highway entrances using convolutional neural networks 
    Juwanwadu, L.N.W.; Jayasiri, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Vehicle type validation for Highway entrances using convolutional neural networks is an approach taken to automate the highway toll systems of Sri Lanka. Available automated highway toll systems in the world use sensor-based ...

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