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  • Predictability of Stock Returns Using Financial Ratios: Empirical Evidence from Colombo Stock Exchange 
    Wijesundera, A.A.V.I.; Weerasinghe, D.A.S.; Krishna, T.P.C.R.; Gunawardena, M.M.D.; Peiris, H.R.I. (University of Kelaniya, 2015)
    The purpose of this research is to examine the ability of the historical financial information in constructing a resilient value portfolio for investors by predicting stock returns in the Sri Lankan context. One of the ...
  • Predictability of Stock Returns Using Financial Ratios: Empirical Evidence from Colombo Stock Exchange 
    Dias, R.; Piyananda, S. D. P. (Department of Finance Faculty of Commerce and Management Studies University of Kelaniya, 2020)
    The purpose of this study is to examine the predictability of stock return using financial ratios in Sri Lankan context including the macroeconomic variables using data collected from the listed Companies in Colombo Stock ...
  • Predicted cost benifits of establishment of Ricckettsial didease diagnostics in Sri Lanka 
    Premaratna, R.; Dissanayake, I.; Chandrasena, T.G.A.N.; Attanayake, N.; de Silva, H.J. (American Society of Rickettsiology, 2008)
    Abstract Available
  • Predicting a top rank batsman in an ODI match, using the first few balls faced: A case study 
    Madhuranga, W. P. K.; Kavinga, H. W. B.; Chandrasekara, N. V. (Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Predicting the success of a top-rank batsman will play a crucial role in the decision-making process in the game of cricket, on the field as well as off the field. This research is carried out with the purpose of achieving ...
  • Predicting acute liver failure in dengue infection 
    Kumarasena, R.S.; Niriella, M.A.; Ranawaka, C.K.; Miththinda, J.K.N.D.; de Silva, A.P.; Dassanayake, A.S.; de Silva, H.J. (Sri Lanka Medical Association, 2016)
    In a retrospective study involving 240 patients with dengue infection, we attempted to identify early predictors of acute liver failure (ALF). Sixteen out of 41 patients with serum AST more than 1000 IU/ml developed ALF ...
  • Predicting acute liver failure in dengue infection 
    Ranawaka, C.K.; Kumarasena, R.S.; Niriella, M.A.; Miththinda, J.K.N.D.; Pathmeswaran, A.; Dassanayake, A.S.; de Silva, A.P.; Premaratna, R.; de Silva, H.J. (Wiley Blackwell Scientific Publications, 2012)
    BACKGROUND AND AIM: Dengue infections (DI) have a diverse clinical spectrum ranging from asymptomatic illness to severe dengue. Unusual manifestations such as encephalitis, myocarditis, and acute liver failure (ALF) are ...
  • Predicting acute liver failure in dengue infection 
    Ranawaka, C.K.; Kumarasena, R.S.; Niriella, M.A.; Miththinda, J.K.N.D.; Pathmeswaran, A.; Dassanayake, A.S.; de Silva, A.P.; de Silva, H.J. (Sri Lanka Medical Association, 2012)
    INTRODUCTION: Dengue infections (Dl) have a diverse clinical spectrum ranging from asymptomatic illness to severe dengue. Unusual manifestations such as encephalitis, myocarditis, and acute liver failure (ALF) are increasingly ...
  • Predicting acute liver failure in dengue Infection 
    Ranawaka, C.; Niriella, M.A.; Kumarasena, R.S.; Miththinda, J.K.N.D.; de Silva, A.P.; Premaratna, R.; de Silva, H.J. (American Gastroenterological Association(AGA) Institute, Published by Elsevier Inc., 2013)
    BACKGROUND: Dengue infections (DI) can range from being asymptomatic to severe illness. Unusual manifestations such as encephalitis, myocarditis, and acute liver failure (ALF) have been recognized. ALF is uncommon, but has ...
  • Predicting Auditors’ Opinions Using Financial Ratios and Non-Financial Metrics; Evidence of The Listed Food, Beverage and Tobacco Companies in Sri Lanka 
    Ranasingha, R.A.R.N.; Kawshalya, M.D.P. (Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka, 2021)
    The purpose of this study is to investigate the extent to which a model based on financial and non-financial variables predicts auditors’ decisions to issue qualified audit reports in the case of companies listed on the ...
  • Predicting box office success of movies using sentiment analysis and opinion mining 
    Basnayake, H.; Jayalal, S. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    Movies and social media come together as a result of people sharing their opinions on social media and movie makers using the same platforms for movie promotions. From movie makers to movie goers, many parties are ...
  • Predicting Corporate Failure in License Finance Companies in Sri Lanka 
    Pabasara, H.G.R.; Abeywardhana, D.K.Y. (Department of Accountancy, Faculty of Commerce and Management Studies, University of Kelaniya Sri Lanka, 2023)
    The license finance industry in Sri Lanka plays a vital role in providing credit to businesses and individuals. However, the industry is not without risk, as evidenced by the number of LFCs that have failed in recent years. ...
  • Predicting corporate failure of listed companies in Sri Lanka 
    Lakshan, A.M.I.; Wijekoon, N. (2012)
    The purpose of this research is to develop a model to predict corporate failure of listed companies in Sri Lanka. This study utilized publicly available data from annual repots of a sample of 70 failed firms and a sample ...
  • Predicting Corporate Financial Distress in Sri Lanka With Reference to Z-Score Model 
    Nanayakkara, K.G.M.; Azzez, A.A. (University of Kelaniya, 2014)
  • Predicting Corporate Financial Distress in Sri Lanka With Reference to Z-Score Model 
    Nanayakkara, K.G.M.; Azeez, A.A. (University of Kelaniya, 2014)
    Financial Distress is a problem spread all over the world from the history. Even though there are ample research studies on this area, the empirical results on this area provide inconclusive results. The majority of the ...
  • Predicting dengue incidences using rainfall and temperature 
    Pushpakanthi, U. B. N.; Perera, S. S. N. (Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka, 2018)
    Dengue fever is a serious illness caused by a virus, which is transmitted through the infected female mosquito, namely Aedes aegypti (principal vector) and Aedes albopictus, through bites or blood meals on human hosts. ...
  • Predicting Employee Preference of Teleworking Using Machine Learning Techniques in the Post COVID-19 Period in Sri Lanka 
    Abesiri, S. A. D. D.; Rupasingha, R. A. H. M. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Coronavirus Disease (COVID-19) is a new disease that has begun since December 2019. As COVID-19 continues to spread around the world, some governments around the world have locked up. Many countries strictly enforce laws ...
  • Predicting examination performance using machine learning approach: A case study of the Grade 5 scholarship examination in Sri Lanka 
    Ranawaka, U.M.; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Universal primary school education is a must requirement and one of the criteria that should be fulfilled by the developing countries according to the International development goals which are also recognized as “Eight ...
  • Predicting landslides in hill country of Sri Lanka using data mining techniques 
    Karunanayake, K.B.A.A.M.; Wijayanayake, W.M.J.I. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    A landslide is the movement of rock, debris or earth down a slope. They result from the failure of the materials which make up the hill slope and are driven by the force of gravity. When it refers to Sri Lankan context ...
  • Predicting Mothers with Postpartum Depression using Machine Learning Approaches 
    Prabhashwaree, T. H. K. R.; Mihirini, Wagarachchi N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Postpartum depression (PPD) occurs in some mothers after giving childbirth because of changes in their physical, behavioral, and emotional. This mental disorder is hard to predict and its symptoms are complex. The main ...
  • 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 ...

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