DSpace at My University: Recent submissions

  • මහනුවර නාගරික කලාපයේ දෘෂ්‍ය සංඥාවලින් නිරූපිත භාෂා භූ දර්ශනය 
    ජයසුන්දර, ජේ.ඒම්.කලණ හසන්ත; ආරියරත්න, මනෝජ්; අරංගල, රත්නසිරි (Center for Indigenous Knowledge and Community Studies (CIKCS) Sabaragamuwa University of Sri Lanka, 2023-09-22)
    නූතන ව්‍යවහාරික වාග් විද්‍යා විෂය ක්ෂේත්‍රයට භාෂාවේ භාෂණ ව්‍යවහාර පමණක් නොව ලිඛිත (දෘෂ්‍ය) ස්වරූපයද අධ්‍යනයද ඇතුළත් වෙයි. ඒ් අනුව තෝරා ගන්නා ලද භූමියක හෝ කලාපයක හෝ පොදු හා වාණිජ සංඥා මත පදනම්ව භාෂාවල දෘෂ්‍යතා හා ලක්ෂණ ...
  • Small-Scale Women Entrepreneurs in the Tourism Sector: Do Business Associations Help? 
    Handaragama, Saman (Center for Indigenous Knowledge and Community Studies (CIKCS) Sabaragamuwa University of Sri Lanka, 2023-09-22)
    Women-owned enterprises mobilize various resources in order to overcome the structural, institutional and cultural disadvantages which they face. The objective of this paper is to investigate whether the Business ...
  • Cover page 
    Applied Sciences, Faculty of (Sabaragamuwa University of Sri Lanka, 2022-04-06)
  • Contents 
    Applied Sciences, Faculty of (Sabaragamuwa University of Sri Lanka, 2022-04-06)
  • Front Page 
    Applied Sciences, Faculty of (Sabaragamuwa University of Sri Lanka, 2022-04-06)
  • Analyzing and Optimizing the Performance of Big Data Platform: A Case Study Based on Apache Hadoop MapReduce Framework 
    Jayamaha, J.H.R.P.; Jayasena, K.P.N. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Map-reduce is among the most effective and efficient methods to handle many data sets. Different methods and techniques have been presented to map-reduce processes. Largescale data processing and analysis can be performed ...
  • Multi-Objective Optimization of Fog-based Remote Healthcare Monitoring System for Covid-19 Patients 
    Hewavithana, L.I.A.; Jayasena, K.P.N. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    With the advent of technology, the healthcare industry has grown increasingly technologically interconnected. Modern technology can rapidly and accurately process millions of health records of patients compared to the ...
  • Predictive Autoscaling for Containerized Microservices in Cloud Infrastructure 
    Fernando, W.S.M.; Jayasena, K.P.N. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Autoscaling ensures that cloud-based applications always have the right amount of resources to control the current traffic demand. Different types of autoscaling methodologies have been used for cloud-hosted containerized ...
  • E-wallet for Youth: A Secure and Sustainable System for Financial Transactions 
    Silva, T.S.J De; Vasanthapriyan, S. (Sabaragamuwa University of Sri Lanka, 2022-03-06)
    E-wallet known as electronic wallet is a computer-based information system that makes it easier for users to conduct paperless transactions. E-wallet allows its customers various advantages compared to similar payment ...
  • Detecting the Code Clone Density and Measuring the Complexity of Source Code Using SonarQube 
    Vijayanandan, T.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    In software development, developers often copy and paste the code, with or without modifications. In the software development sector, maintenance accounts for roughly 90% of the software lifetime cost. The concept of ...
  • Data Mining-based Landslide Vulnerability Prediction System 
    Dissanayaka, D.M.D.S.K.; Malkanthi, A.M.C. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Badulla district is situated in a complex physical topography with mountain ranges and small valleys that sees a lot of landslides every year. Main causes for this phenomenon are extreme rainfall, slope aspect, unplanned ...
  • Using Twitter Data for Assessing Home Violence During the Covid-19 Pandemic 
    Adeeba, S.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    The outbreak of COVID-19 has triggered a worldwide health crisis that has influenced how we view the world and live our daily lives. It has resulted in both negative and positive impacts. Home Violence (HV) is one of the ...
  • Machine Learning-based Approach for Predicting Covid-19 Deaths 
    Mohamed, I.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-03-06)
    Covid-19 is a highly contagious infectious virus that became a pandemic and had a major impact on global public health, resulting in deaths and serious health repercussions. It affects the human body in a variety of ways, ...
  • Generative Adversarial Network-based Data Augmentation for Papaya Disease Detection using Deep Learning 
    Kosala, K.; Banujan, K.; Kumara, B.T.G.S.; Kovarthanan, T. (Sabaragamuwa University of Sri Lanka, 2022-03-06)
    Fruit diseases are a severe problem for all farmers, especially for fruit growers. A major challenge for large farms is the spread of diseases that make the fruits unfit for consumption, which also significantly impacts ...
  • Identification of the Type of the Respiratory Failure by Analyzing the ABG Test Results Using Machine Learning 
    Kajanan, S.; Kumara, B.T.G.S.; Banujan, K.; Prasanth, S. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Arterial blood gas (ABG) analysis is crucial for determining oxygenation and blood acid levels. It is essential for identifying the clinical status and contributes to healthcare strategy plans that are both cost-effective ...
  • Artificial Neural Network-based Approach to Predict the Soil Fertility 
    Vithujan, A.; Banujan, K.; Kumara, B.T.G.S.; Prasanth, S. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Agriculture is one of the most important economic sectors in any country. As the world’s population grows, governments increase their crop production every year. In this regard, a wider variety of factors that affect the ...
  • Future Prediction and Analysis of Tea Export in Sri Lanka in Terms of Influencing Factors 
    Laveena, R.; Kudagamage, U.P. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    According to figures from the Sri Lanka Tea Board, the amount of tea exported fluctuates greatly depending on the time of the year. Analyzing and predicting tea export based on the type of tea exported would be highly ...
  • Face Mask Detection System using Neural Network Architecture 
    ttanayaka, A.M.S.M.C.K.B. A; Malkanthi, A.M.C. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Face masks are a vital precautionary measure in the fight against the Covid-19 pandemic. This study aims to develop a face mask detection system suitable to deploy on single board computers (SBCs) by comparing the ...
  • Identification of a Machine Learning Architecture for Potato Disease Classification Using Leaf Images 
    Gayantha, M.H.; Kithulwatta, W.M.C.J.T.; Rathnayaka, R.M.K.T. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    Agriculture is a vital economic sector for any country. Therefore, improving the agriculture sector properly is much needed; especially computer technology has been widely used for improving the productivity of the ...
  • Multilayer Perceptron-based Source Code Classification 
    Mohamed, I.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-04-06)
    One of the most crucial stages in the software development life cycle is the implementation stage. Source code is the most critical component in a software application. Developers develop new source code from scratch or ...