Science: Recent submissions

  • Beneficial functions of plant materials used in shodhana process of mercury in Ayurveda Rasashastra 
    Gunaratna, T.A.N.R.; De Silva, W.R.M.; Prajapati, P.K.; De Silva, K.M.N. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Shodhana process in rasashastra is a mandatory process for each material prior to use in herbomineral pharmaceutical preparations. Although different types of mercury (Hg) shodhana”processes are described in rasashastra, ...
  • Linear programming approach to assess an optimal cultivation plan: A case study 
    Hakmanage, N.M.; Chandrasekara, N.V.; Jayasundara, D.D.M. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    An optimal cultivation plan refers to the procedure or action of making the best or most effective use of resources for cultivation in a sustainable manner while maximizing net return. Reaching an efficient cultivation ...
  • Sorption studies of metal ions by formaldehyde-based ion-exchange resins derived from anthranilic acid, salicylic acid and catechol 
    Arasaretnam, S.; Jayarathna, U.P.D. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Polymeric chelating ion exchange materials open a wide range of opportunities in industrial, environmental and biological applications owing to their metal ion-exchange selectivity and low cost of production and easy ...
  • Fog computing and IoT based prediction system for healthcare using deep learning methods 
    Buddhika, J. G.; Jayasena, K. P. N. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The rapid developments in the information technology arena over the last three decades, have seen a huge range of software application solutions being developed for various sectors of the economy. Cloud computing delivers ...
  • CNN based deep learning model for tomato crop disease detection 
    Gunarathna, M.M.; Rathnayaka, R.M.K.T. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Tomato is one of the most commonly cultivated solanaceous short duration vegetable crops, grown in outdoor and indoor conditions, worldwide. However, unfortunately, many diseases affect these crops which have an impact on ...
  • Prediction of the incubation period of COVID-19 patients using machine learning techniques 
    Rathnayake, P.P.P.M.T.D.; Wickramaarachchi, D.N.; Senanayake, J.M.D. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Coronavirus Disease 2019 (COVID-19) is a respiratory infection caused by a newly discovered coronavirus. As of September 2020, within about eight months of this infectious disease being identified, more than thirty million ...
  • Introducing a new statistical model to analyse the security of the shard-based public blockchain 
    Hangawaththa, N.H.A.C.M. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    To support a large amount of data traffic and unyielding quality of service requirements, a highly scalable and reliable networking system is required for public use of blockchain technology. There are several types of ...
  • A deep learning approach to outbreak related tweet detection 
    Jayawardhana, B.A.S.S.B.; Rajapakse, R.A.C.P. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Social Media has become a good indicator that reflects the real-time behaviour of society. Due to the popularity of social media platforms around the world, people use to express their observations and concerns on social ...
  • Evaluating optimal lockdown and testing strategies for COVID-19 using multi agent social simulation 
    Dunuwila, P.M.; Rajapakse, C. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    COVID-19 pandemic has become a major concern due to its rapid spread throughout the world.We can observe some countries are successful in formulating strategies effectively for managingthe transmission of the pandemic, ...
  • Predicting non-communicable diseases using machine learning techniques 
    Anuradha, K.; Lakshan, D.P.M.; Wijayarathna, W.M.S.R.B.; Ilmini, Kalani Sriya; Kathriarachchi, R.P.S. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    If diseases are not treated promptly, they can lead to many health issues and these could be sometimes fatal. These problems are exacerbated by the lack of specialists, doctors, and health facilities in Sri Lanka. Accurate ...
  • Image-based deep learning approach for flood impact level identification 
    Weerasinghe, I.D.T.T.; Jayasena, K.P.N. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Disasters are a global issue that could have catastrophic consequences on the local economy of the country. While they can be natural disasters or man-made, among natural disasters, floods can be classified as the most ...
  • A qualitative analysis on strengths and weaknesses of Cyber Security Bill 2019 in Sri Lanka 
    Vithakshana, L. G. C. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The Internet as we know it today, is a stark contrast to what it was in its formative years in terms of accessibility, usage, security, user interface and cost to the user. With the development of the Internet and its wide ...
  • Hybrid recommender system for categorized Sinhala news articles 
    Tennakoon, T.M.S.A.; Gamlath, G.R.N.A. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Despite the existence of popular news recommendation systems like Yahoo, there exists no such site for the Sinhala language which provides personalized news recommendations. Hence, there is a need to implement a similar ...
  • A review of product based recommender systems used in online shopping platforms 
    Boteju, W.P.A. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Online shopping platforms have drastically changed customer behaviour. Customers can make their choices far easier with the help of recommender systems which are an integral part of modern online shopping platforms. As a ...
  • Usability of voice-activated interfaces: A comprehensive literature review 
    Arambepola, S.N.M.N.D.K. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    User interaction designing has been changed drastically in the recent past. Cutting edge technologies have enabled users to interact with digital products in more natural ways. For example, Natural Language Processing (NLP) ...
  • Tourist volume forecasting: An approach with supervised machine learning algorithms 
    Basnayake, B.R.P.M .; Chandrasekara, N.V. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The tourism industry generates almost US$4 billion of income and provides direct and indirect employment to a large number of people in the country. Expert knowledge on the travel behaviour of tourists is an important part ...
  • Application of artificial neural network in customer analytics: A literature and classification 
    Amin, R.; Tiroshan, W. A. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Industries are relying on increasing the customer base as a means of growth of the industry, irrespective of churn prediction. It could be argued that churning of customers, have the same or even greater consequence on the ...
  • Availability and reliability analysis in 5G communication scenarios in IoT applications 
    Vithanage, D.S. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Due to the increasing usage of wireless communication devices, the demand for fifth-generation (5G) cellular network access is growing rapidly. Facilities that might be seen with 5G technology include, far better levels ...
  • Catalytically induced pyrolysis of LDPE to liquid fuel 
    Wickramaarachchi, W.A.A.S.; Premachandra, B.A.J.K.; De Silva, D.S.M. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Plastics are used in a wide range of applications because of their durability, lightweight, easy fabrication, and desired chemical and physical properties. Usually, plastic products are discarded after use to the environment ...

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