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Browsing Smart Computing and Systems Engineering - 2023 (SCSE 2023) by Issue Date

Browsing Smart Computing and Systems Engineering - 2023 (SCSE 2023) by Issue Date

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  • The Role of Social Media (Twitter) in Analysing Home Violence: A Machine Learning Approach 
    Adeeba, Saleem; Banujan, Kuhaneswaran; Kumara, B.T.G.S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Home Violence (HV) has been a persistent issue across the globe, transcending economic status and cultural boundaries. The COVID-19 pandemic has further exacerbated this problem, bringing it to the forefront of public ...
  • Deep Learning-Based E-Learning Solution for Identifying and Bridging the Knowledge Gap in Primary Education 
    Arunoda, D.P.H.; Walpola, S.R.; Piumira, S.M.I.; Athukorala, A.D.M.P.; Thilakarathna, Thusithanjana; Chandrasiri, Sanjeevi (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Educational teaching apps are primarily available in app stores to educate students in various contexts. Lack of educational resources, physical and mental health conditions, and poverty cause some students to skip school ...
  • TQM Practices on Supply Chain Performance of Third- Party Logistics Services in Sri Lanka: The Moderating Role of Green Supply Chain Practices 
    Nawurunnage, K.; Prasadika, A.P.K.J.; Wijayanayake, A.N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The growing need to address the threat of global warming and greenhouse gas emissions has placed immense pressure on logistics companies to adopt sustainable practices. With logistics operations being a significant source ...
  • Evaluating Business as Usual Activities between Agile and Information Technology Infrastructure Library (A-ITIL): Industry Practitioners’ Point of View 
    Peliarachchi, Amalka; Wijayanayake, Janaka (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Although the Information Technology Infrastructure Library (ITIL) aims to manage the entire lifecycle of an IT service, the protocols of ITIL do not directly control the initiatives that lead to the formation or changes ...
  • Sentiment Reason Mining Framework for Analyzing Twitter Discourse on Critical Issues in US Healthcare Industry 
    Edirisinghe, Rasika; Asanka, Dinesh (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    This research study employs machine learning and textual analysis techniques to examine the US healthcare system through the analysis of Twitter data. By leveraging domain-specific keywords and hashtags, a customized data ...
  • Integrating Weather Patterns into Machine Learning Models for Improved Electricity Demand Forecasting in Sri Lanka 
    Abeywickrama, Shani; Asanka, P.P.G. Dinesh (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The electricity demand in Sri Lanka is expected to increase steadily over time. Planning for future demand and ensuring an adequate electricity supply poses a significant challenge. It is crucial to accurately forecast the ...
  • A Review of Recent Trends in Sri Lankan Social Media Analytics Research 
    Sandaruwani, M.D.; Hewapathirana, I.U. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Due to industry demands and massive applications, the social media landscape is rapidly expanding. However, in Sri Lanka, analyzing social media data is still considered a young research topic. This article examines the ...
  • A Comparative Evaluation of PDF-to-HTML Conversion Tools 
    Pathirana, Pramodya; Silva, Asini; Lawrence, Thenuka; Weerasinghe, Thushani; Abeyweera, Roshan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    PDF (Portable Document Format) is a popular file format used for sharing and storing documents across different platforms. However, there are occasions when the content of a PDF document needs to be re-purposed for online ...
  • Impact of Artificial Autonomy Avatar on Consumer Acceptance of Fashion Retail Services 
    Arachchi, H.A.D.M.; Samarasinghe, G.D. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    This study focused on explaining the influence of fashion retail autonomy avatar on consumers’ acceptance of fashion retail service; this study also examined the moderating impact of precision toward avatar acceptancy. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Minimising Last-Mile Delivery Cost and Vehicle Usage through an Optimised Delivery Network Considering Customer-Preferred Time Windows 
    Abhilashani, G.Kasuri; Ranathunga, M.I.D.; Wijayanayake, A.N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    In the dynamic and developing e-commerce era, last-mile delivery has emerged as one of the critical operations among all. The last-mile delivery in the e-commerce industry is facing high costs due to a going economic crisis ...
  • Prioritizing Warehouse Performance Measures in Sri Lankan 3PL Industry 
    Gunathilaka, Madhavee; Kavirathna, Chathumi; Wijayanayake, Annista; Prabodhika, Jinadari (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Continuous Integration and Continuous Delivery (CI/CD) is an Agile-based software development methodology becoming increasingly popular in the software development industry due to its ability to automate the software ...

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