Science: Recent submissions

  • Bioprospecting of an Endolichenic Fungus Phanerochaete sordida Isolated from Mangrove-Associated Lichen Bactrospora myriadea 
    Weerasinghe, R. H.; Shevkar, C. D.,; Maduranga, K.; Pandey, K. H.; Attanayake, R. N.; Kate, A. S.; Weerakoon, G.; Behera, S. K.; Kalia, K. S.; Paranagama, P. A. (Journal of Chemistry, 2022)
    Bioassay-guided fractionation of the ethyl acetate extract of Phanerochaete sordida, an endolichenic fungus (ELF) isolated from the host lichen Bactrospora myriadea, collected from Negombo lagoon, Sri Lanka, led to the ...
  • Deep Neural Architectures for Ethnicity Classification in Face Images 
    Jayasekara, Buddhi G.; Hevapathige, Asela (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Ethnicity is a key metric of an individual’s identity, social cluster, physical behaviour and cultural association. Accurate ethnicity identification of humans is required in numerous fields like security, legislation, ...
  • A Comparative Study of Clustering English News Articles Using Clustering Algorithms 
    Disayiram, N.; Rupasingha, R. A. H. M. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The news informs us of what is going on in the world. People nowadays read their interesting news on news websites. There are numerous categories of news. Each newsreader has a different preference for news categories. ...
  • Creating a Sri Lankan Micro-Emotion Dataset for a Robust Micro-Expression Recognition System 
    Jayakodi, J. A. L. P.; Jayamali, G. G. S. D.; Hirshan, R.; Aashiq, M. N. M.; Kumara, W. G. C. W. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    In interpersonal communication, the human face provides important signals of a person’s emotional states and intentions. Furthermore, micro-emotions play a major role in understanding hidden intentions. In psychological ...
  • Cytotoxic Bioxanthracene and Macrocyclic Polyester from Endolichenic Fungus Talaromyces pinophilus: In-Vitro and In-Silico Analysis 
    Shevkar, C.; Armarkar, A.; Weerasinghe, R.; Maduranga, K.; Behera, S.K.; Kalia, Kiran; Paranagama, P.; Kate, A. S.; Pandey, K. (Indian J Microbiol, 2022)
    Lichens are used in folklore medicines across the globe for wound healing and to treat skin disorders and respiratory diseases. They are an intricate symbiosis between fungi and algae with the domination of fungal co ...
  • A Systematic Investigation on the Effectiveness of the Tabbert Model for Credit Card Fraud Detection 
    Hewapathirana, Isuru; Kekayan, Nanthakumar; Diyasena, Deshanjali (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    As a result of rapid digitisation, online transactions using credit cards have become popular. With this, fraudulent activities have also increased considerably. Although many supervised and unsupervised machine learning ...
  • A Comprehensive Review on Vision-based Sign Language Detection and Recognition 
    Weerasinghe, R. L.; Ganegoda, G. U. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Deaf or hard-hearing people's primary mode of communication is sign language. Communication between hard hearing and hearing people is greatly aided by sign language recognition technologies. With the advent of technology, ...
  • Performance Comparison of Neural Network Models on Edge Devices Using Face Mask Detection System 
    Attanayka, M. S. M. C. K. B.; Malkanthi, M. C. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    COVID-19 pandemic has affected the human lifestyle in an unprecedented way. Apart from vaccination, one of the best precautionary measures is wearing masks in public. Face Mask detection models that are deployable on single ...
  • An Emotion Classification Model for Driver Emotion Recognition Using Electroencephalography (EEG) 
    Gamage, T. A.; Kalansooriya, L. P.; Sandamali, E. R. C. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Road accidents have been a critical issue that has resulted in fatal injuries, disabilities, and deaths for many individuals worldwide. The notion of Human-Computer Interaction (HCI) is widely considered in monitoring ...
  • Common Object Request Broker-based Publisher-Subscriber Middleware for Internet of Things - Edge Computing 
    Perera, Hansani; Jayakody, Anuradha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The edge computing layer in IoT reduces the flow of a massive amount of data directly to the cloud by processing some data in the local network. The middleware in the layer enables this processing of data and the communication ...
  • Exploration of Potent Cytotoxic Molecules from Fungi in Recent Past to Discover Plausible Anticancer Scaffolds 
    Shevkar, C.; Pradhan, P.; Armarkar, A.; Pandey, K.; Kalia, K.; Paranagama, P.; Kate, A. S. (Chemistry & Biodiversity, 2022)
    Fungi are known to produce diverse scaffolds possessing unique biological activities, however, to date, no molecule discovered from a fungal source has reached the market as an anti-cancer drug. Every year number of cytotoxic ...
  • Healbot: NLP-based Health Care Assistant for Global Pandemics 
    Anushka, Shan; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Since it was detected, coronavirus (also known as COVID-19) has become a worldwide epidemic. The surge in patients has made it challenging for hospitals and medical professionals to keep up due to the increasing number of ...
  • Hate Words Detection Among Sri Lankan Social Media Text Messages 
    Shalinda, J. A. D. U.; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The number of Sri Lankan social media users have been increased with the rapid growth of 23% between 2020 and 2021, reaching 7.9 million in 2021 January. Social media platforms became more popular when they started supporting ...
  • Deep Hybrid Learning Framework for Plant Disease Recognition 
    Hewarathna, Ashen Iranga; Palanisamy, Vigneshwaran; Charles, Joseph; Thuseethan, Selvarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Following better agricultural practices is the key to catering for the ever-increasing food demand. While new technologies have been adapted over the years, there is still a need for effective plant disease recognition ...
  • Effectiveness of a VR-based Solution to Improve Practical Skills of Trainee Nurses in Sri Lanka 
    Aluthge, C. L. P.; Imeshika, K. A. S.; Weerasinghe, T. A.; Sandaruwan, K. D. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    This study describes educational design research conducted to determine the usability of a Virtual Reality (VR) based learning tool to practice nursing skills. With the advancement of technology, new technological solutions ...
  • Stock Market Prediction using Artificial Intelligence 
    Dilhan, M. W. Sachin; Wagarachchi, N. Mihirini (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    This research focuses on predicting stock closing prices for one day or the future in specific economic conditions. Today, Sri Lanka faces a financial crisis due to the COVID-19 pandemic. Therefore, lots of investors are ...
  • 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 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 ...
  • Designing of a Voice-Based Programming IDE for Source Code Generation: A Machine Learning Approach 
    Nizzad, A.R. M.; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Humans are precise in recognizing natural languages and responding contextually unlike machines. However, speech recognition or Automatic speech recognition often refers to converting human speech or voice to textual ...
  • Extraction of Sentiments in Tamil Sentences Using Deep Learning 
    Loganathan, Hirushayini; Sakuntharaj, Ratnasingam (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Sentiment analysis is the process of extracting information from the given text in which the text consists of various sensations such as happiness, perturbation, pride, worry, and so on about various functions, human beings, ...

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