Browsing Faculty of Applied Science by Title

Browsing Faculty of Applied Science by Title

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  • Benchmarking performance of text classifiers for imbalanced data 
    Upeksha, L.; Yasotha, R. (Faculty of Applied Science, 2021-09-15)
    A goal of a text classifier is to classify text documents into defined categories automatically. Classification belongs to supervised learning, where the targets are also provided with the input data. Traditional classification ...
  • A Binary Integer Programming Approach to find a Sudoku Matrix 
    Paramadevan, P. (Faculty of Applied Science, University of Vavuniya, Sri Lanka, 2022-08-31)
    In the basic Sudoku game, players must fill the entries of a n×n matrix, except some given entries, under the conditions that each row, each column, and each m×m sub-matrix contains integers 1 through n exactly once. In ...
  • BIOCHAR-MEDIATED REMEDIATION OF POLYCYCLIC AROMATIC HYDROCARBONS IN WASHING EFFLUENT FROM AUTOMOBILE SERVICE STATION SOIL 
    Gunarathna, H.M.D.S.; Pallewatta, S.; Devaisy, S.; Rajapaksha, A.U.; Vithanage, M.S. (National Science and Technology Commission, 2024-01-26)
    Petroleum hydrocarbon contamination resulting from human activities including spills, industrial manufacturing, and fossil fuel disposal is a global environmental issue. Considering the contamination of soils by petroleum ...
  • Bioethanol Production from Azolla filiculoides using Saccharomyces cerevisiae 
    Christy, E. J. S. B. A.; Kapilan, R.; Wickramasinghe, I.; Wijesekara, W. L. I. (Faculty of Applied Science, 2020-12-02)
    Ethanol can be produced from any material that contains sugar, starches and cellulosic materials are used as an ideal and inexpensive raw material in the production of ethanol by fermentation. Cellulosic substrates are ...
  • Biofunctional stirred yoghurt production using Mangosteen (Garcinia mangostana L.) peel powder extrac 
    Wimanshinee, A.G.N.; Shamika, D.G.H.; Arampath, P.C. (Faculty of Applied Science, 2021-09-15)
    Mangosteen (Garcinia mangostana L.) peel powder (MPP) extract was incorporated to develop stirred yoghurt rich in functional properties. Mangosteen peels are seasonal agricultural waste, rich in phenolic compounds and ...
  • BUTTERFLY SPECIES DIVERSITY IN SALAIMBAKULAM, PAMBAIMADU, VAVUNIYA, SRI LANKA 
    Sanjeewa, U.D.L.; Patrick, A.E.S.; Jayasinghe, H. D. (Faculty of Applied Science, 2020-12-02)
    Butterflies are one of the widely spread insect community that plays a vital role in the biosphere and very sensitive to weather, climate change and habitat disturbance. Land use pattern and climate change influence the ...
  • Changes in physical properties of black gram (Vigna mungo) during growth and development 
    Bhiranavi, S.; Thusalini, A.; Sritharan, S.; Kannan, N. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)
    Black gram is one of the important cereals as far as the nutritional status of people in Sri Lanka is concerned. The physical properties of black gram determine the ultimate yield during harvesting. Therefore, this work ...
  • Character recognition focusing partially disfigured name boards 
    Lathagini, S.; Suthaharan, S. (Faculty of Applied Science, 2021-09)
    Name boards are the most popular visual aids on roadways, and they help with location identification. Damage to name boards can deface them in various cases. When name boards are severely damaged, it can be difficult for ...
  • Chemical characteristics of bulk deposition in Sinharaja and Mattakkuliya, Sri Lanka 
    Wijerathna, A.I.S.S.; Naveendrakumar, G.; Amarathunga, A.A.D.; Pemarathne, S.K.S. (Young Scientists’ Association (NIFS-YSA), National Institute of Fundamental Studies, Hanthana Road, Kandy, Sri Lanka., 2023-09-23)
    The chemical characteristics of bulk deposition vary with climatic seasons. This study aimed to investigate the chemical characteristics of bulk deposition in Sinharaja, a rainforest site, and Mattakkuliya, an urbanized ...
  • Classification of animals with attributes using image processing and machine learning algorithms 
    Kanista, M. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)
    Technology has been taken part a significant role to play in wildlife and ecosystem conservation. It reduces the human workload and time for circumstances which require immediate results. In computer vision related problems, ...
  • Classification of Tamil Songs Based on Singers 
    Amrithaa, P.; Kartheeswaran, T. (Faculty of Applied Science, 02-12-2020)
    Music information retrieval (MIR) is a popular study area in music indexing and music retrieval system.Singer identification (SID) and classification is a subset of MIR which can be used in many applications.People have ...
  • Combined effect of hot water soaking and submerged aerated soaking on paddy hydration 
    Risviya, M.I.H.F.; Thusalini, A.; Kannan, N. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)
    Paddy parboiling is an important step in paddy processing. It generates a significant amount of effluent. The treatment of this highly contaminated effluent is complex. There are limited studies available on the combination ...
  • A Combined Error Control with Forward Euler Method for Dynamical Systems 
    Vigneswaran, R.; Thilaganathan, S. (World Academy of Science, Engineering and Technology, 2016-05-12)
    Variable time-stepping algorithms for solving dynamical systems performed poorly for long time computations which pass close to a fixed point. To overcome this difficulty, several authors considered phase space error ...
  • Combined phytoremediation and biosorbents techniques to remove organics from rice mill wastewater 
    Navogini, N.; Devaisy, S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)
    The increase of population led to the emergence of rice mills in the country. This resulted in the production of rice from paddy generates huge volumes of wastewater from the rice mills especially after the soaking process. ...
  • Combining Lasso and Liu type estimator in the linear regression model 
    Kayanan, M.; Wijekoon, P. (International Statistical Institute, 21-08-19)
    The Ordinary Least Square Estimator (OLSE) has been widely used to estimate unknown parameters in the linear regression model. Since OLSE produces high variance on the estimates when multicollinearity exists among the ...
  • Comparing Similarity Between the Title and the Content of News Articles Using Deep Learning 
    Jayasundara, M.H.E.U.; Yasotha, R. (Faculty of Applied Science, 2020-12-02)
    The volume of the online news has rapidly increased for recent years. People who consume the news online have increased. New technologies have changed the way of consuming online news. It has become a huge adoption of ...
  • Comparison between r-d and r-k class estimators in Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 08-09-17)
    A significance attention has been paid by researchers about misspecification due to excluding some relevant explanatory variables and multicollinearity among the explanatory variables in linear regression model. Several ...
  • Comparison of Membrane-Based Treatment Methods for the Removal of Micro-Pollutants from Reclaimed Water 
    Devaisy, S.; Kandasamy, J.; Nguyen, T.V.; Johir, M.A.H.; Ratnaweera, H.; Vigneswaran, S. (MDPI, 2022-11-16)
    Dual membrane hybrid systems generally produce reclaimed water for non-potable uses by blending microfiltered biologically treated sewage effluent (BTSE) and reverse osmosis (RO) permeate. This reclaimed water is found to ...
  • Comparison of single-line rate for dedicated protection on WDM optical network topologies 
    Suthaharan, S; Samarakkody, D; Perera, W. A. S. C (IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016)
    Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several non-overlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
  • A Comprehensive Study on Deep Image Classification with Small Datasets 
    Gayani, C.; Kokul, T.; Amalka, P. (Springer, 17-12-19)
    Convolutional Neural Networks (CNNs) showed state-of-the-art accuracyin image classification on large-scale image datasets. However, CNNs showconsiderable poor performance in classifying tiny data since their large number ...

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