Science: Recent submissions

  • Interpretation of Sri Lankan Sign Language: A Wearable Sensor-based Approach 
    Kusalanga, M.N.; Jayalal, S.; Wijayasiriwardhane, T. K. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Hearing-impaired and speech-impaired people communicate not only with themselves but also with ordinary people using visual languages. Sri Lankan Sign Language (SSL) is the standard visual language used in Sri Lanka. Like ...
  • Effectiveness of Using Deep Learning for Blister Blight Identification in Sri Lankan Tea 
    Hewawitharana, G.H.A.U.; Nawarathne, U.M.L.A.; Hassan, A.S.F.; Wijerathna, L.M.; Sinniah, Ganga D; Vidhanaarachchi, Samitha P.; Wickramarathne, Jagath; Wijekoon, Janaka L. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Ceylon tea industry faces a major challenge in the form of pathogen-induced crop loss, with Blister Blight (BB) caused by Exobasidium vexans posing the greatest threat, leading to harvest losses of over 30%. This fungus ...
  • Preserving India's Rich Dance Heritage: A Classification of Indian Dance Forms and Innovative Digital Management Solutions for Cultural Heritage Conservation 
    Tiwari, Raj Gaurang; Gautam, Vinay; Sharma, Vikrant; Jain, Anuj Kumar; Trivedi, Naresh Kumar (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Deep connections exist between dance and cultural heritage. Dance is frequently passed down through generations as an essential component of a culture's identity and as a means of maintaining and honoring that culture's ...
  • A Sentiment Analysis of COVID-19 Tweets Data Using Different Word Embedding Techniques 
    Nawarathne, U.M.M.P.K.; Kumari, H.M.N.S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The COVID-19 virus that invaded the world in 2019 caused many casualties while creating enormous mental turmoil among humans. During this pandemic period, humans were confined to prevent the virus from spreading. Due to ...
  • Web-Based Data Hiding: A Hybrid Approach Using Steganography and Visual Cryptography 
    Ediriweera, Seniru; Dilhara, B.A.S.; Disanayaka, Chamara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    In today's digital age, protecting sensitive data during transmission and storage is a critical concern. The rise of cyber threats has made it essential to develop secure communication channels to prevent unauthorized ...
  • DrivEmo: A Novel Approach for EEG-Based Emotion Classification for Drivers 
    Gamage, T.A.; Sandamali, E.R.C.; Kalansooriya, Pradeep (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Electroencephalogram (EEG) based emotion recognition approaches have proven to be successful with the latest technologies, and therefore, driver emotion recognition is also being widely discussed for enhancing road safety. ...
  • An Efficient Deep Learning Model for Eye Disease Classification 
    Saini, Archana; Guleria, Kalpna; Sharma, Shagun (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Early detection of eye diseases is crucial, particularly for individuals with a family history of eye diseases, people over 60 years of age, individuals with diabetes, and those who have a history of eye injuries or ...
  • Developing and Training a Mathematical Model for Optimizing a Given Interior Space of a Supermarket 
    Alahakon, Shalitha; Siriwardana, Tharindu; Udupihilla, Deshan; Wickramasinghe, Tharukshi; Rajapaksha, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Retailers are crucial in supply chains, acting as the bridge between consumers and resources. However, there is limited analytic-based literature on block design in grocery stores. This paper employs an algorithmic approach ...
  • Sinhala Language Fake News Detection in Social Media Using Autoencoder-Based Method 
    Adihetti, Rahul; Jayalal, Shantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The spread of fake news in the social media has grown significantly over the past few years. According to the New York Times, fake news is defined as "made-up articles meant to deceive." Additionally, the way they are ...
  • A Bayesian Approach for Raisin Data Classification 
    Kumari, H.M.N.S.; Nawarathne, U.M.M.P.K. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Raisin performs a decisive role in the commodity economy. Recently, low-quality raisin products have been introduced to agricultural markets worldwide. Therefore, it is crucial to identify a suitable classification method ...
  • Impact of Feature Selection Towards Short Text Classification 
    Jayakody, J.R.K.C.; Vidanagama, V.G.T.N.; Perera, Indika; Herath, H.M.L.K. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Feature selection technique is used in text classification pipeline to reduce the number of redundant or irrelevant features. Moreover, feature selection algorithms help to decrease the overfitting, reduce training time, ...
  • Detecting Click Fraud Using an Improved Lenet-5 Convolution Neural Network 
    Fernando, C.D.; Walgampaya, C.K. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Online advertising has grown drastically over the last couple of decades by making billions worth of business markets all over the world. Click Fraud can be identified as one of the common malpractices when it comes to ...
  • Alapana Generation Using Finite State Machines and Generative Adversarial Networks 
    Jayatharan, Vithushigan; Alwis, Dileeka (Jayatharan Vithushigan; Alwis Dileeka (2023), Alapana Generation Using Finite State Machines and Generative Adversarial Networks, International Research Conference on Smart Computing and Systems Engineering (SCSE 2023), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. Page 6, 2023)
    The recent advancements in deep learning techniques and computational power have promoted the development of novel approaches for music generation. In this study, generating alapana, an improvisational form of Carnatic ...
  • A Comprehensive Approach to Evaluating Software Code Quality Through a Flexible Quality Model 
    Shyamal, D.K.K.; Asanka, P.P.G.D.; Wickramaarachchi, D. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The rapid growth of the software engineering sector has led to a detrimental effect on the quality of software being developed. Code quality is crucial in determining the overall quality of software however, it is often ...
  • Defaulter Prediction in the Fixed-line Telecommunication Sector Using Machine Learning 
    Ginige, Sachini; Rajapakse, Chathura; Asanka, Dinesh; Mahanama, Thilini (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    In the modern connected era, the telecommunications sector plays a critical role in enabling efficient business operations across all industries. However, defaulting customers who fail to pay their dues after consuming ...
  • Effectiveness of Machine Learning Algorithms on Battling Counterfeit Items in E-commerce Marketplaces 
    Gunawardhana, Kalinga; Kumara, B.T.G.S.; Rathnayake, R.M.K.T.; Jayaweera, Prasad M. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    For e-commerce marketplaces, counterfeit goods are a major issue since they endanger public safety in addition to causing customer unhappiness and revenue loss. Traditional techniques to identify fake goods in online ...
  • An Automatic Density Cluster Generation Method to Identify the Amount of Tool Flank Wear via Tool Vibration 
    Adikaram, K.K.L.B.; Furukawa, Y.; Herwan, J.; Komoto4, H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Determining the amount of tool flank wear (TFW) of a tool during operation is an important and cost-sensitive factor for maintaining the efficiency of the machine and product standards in Industry 4.0. Therefore, a variety ...
  • Forecasting of Medium-Term Energy Output of On-Grid Rooftop Photovoltaic Arrays -Case Study for a Sri Lankan Solar Panel Installer 
    Wickramasinghe, Bhagya; Asanka, P P G Dinesh (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The world is shifting towards the higher utilization of renewable energy sources in the road to greener energy which conserves an environmentally friendly atmosphere. The generation of sustainable energy via adopting solar ...
  • Common methods and outcomes of employee engagement: a systematic literature review towards identifying gaps in research 
    Priyashantha, K. G.; De Alwis, A. Chamaru; Welmilla, I. (National Science Foundation of Sri Lanka, 2023)
    As global surveys reported, employee engagement is currently in crisis. Hence, this study aimed to discover (1) common methods and outcomes of employee engagement and (2) researchgaps relating to employee engagement. The ...
  • Coastal protection function of mangrove ecosystems: a case study from Sri Lanka 
    De Silva, Wasana; Amarasinghe, Mala Damayanthi (2023)
    The Indian Ocean tsunami in 2004 revealed the inferiority of hard engineering solutions in coastal protection and provided sound evidence over the potential of coastal vegetation, particularly mangroves in protecting the ...

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