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Browsing Smart Computing and Systems Engineering (SCSE) by Title

Browsing Smart Computing and Systems Engineering (SCSE) by Title

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  • Data Mining Approach for Identifying Suitable Sport for Beginners 
    Amarasena, P.T.; Kumara, B. T. G. S.; Jointion, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Anthropometric measurements are generally used to determine and predict achievement in different sports. An athlete’s anthropometric and physical characteristics may perform important preconditions for successful ...
  • A data mining approach for the analysis of undergraduate examination question papers 
    Brahmana, A.; Kumara, B.T.G.S.; Liyanage, A.L.C.J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Examinations play a major role in the teaching, learning and assessment process. Questions are used to obtain information and assess knowledge and competence of students. Academics who are involved in teaching process in ...
  • Data mining model for identifying high-quality journals 
    Jayaneththi, J.K.D.B.G.; Kumara, B.T.G.S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    The focus in local universities over the last decade, have shifted from teaching at undergraduate and postgraduate levels to conducting research and publishing in reputed local and international journals. Such publications ...
  • A decentralized social network architecture 
    Sarathchandra, Tharuka; Jayawikrama, Damith (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Billions of people use social networks, and they play a significant role in people's lifestyles in the current world. At the same time, due to globalization and other factors, the use of these social platforms is expanding ...
  • Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review 
    Madhavi, B. R. H.; Wickramarachchi, Ruwan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Decision-making during a crisis impacts the performance of an entire organization. Due to the COVID-19 pandemic, many organizations had undergone supply chain disruptions due to the forward and backward propagation of ...
  • 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 ...
  • 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 ...
  • Deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka 
    Sangeevan, Siventhirarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The study proposes a deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka. It is an intelligent system to get suitable pesticides prescriptions for plant leaf diseases. ...
  • 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, ...
  • 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 ...
  • Demystifying the concept of IoT enabled gamification in retail marketing: An exploratory study 
    Jayasooriya, Shalini; Alles, Tharindhie; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The retail landscape is evolving rapidly as firms embrace innovative technologies in an attempt to stay ahead of the aggressive competition prevalent within the industry. Gamification is one such innovative technology that ...
  • Dengue mosquito larvae identification using digital images 
    De Silva, W.D.M.; Jayalal, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Dengue is one of the highest spreading mosquitoborne diseases in tropical and subtropical regions all over the world. This disease is mainly spread by the mosquito vector called ‘Aedes’. In Sri Lanka, the number of infected ...
  • Design and development of pump based chocolate 3D printer 
    Rajapaksha, R. R. A. K. N.; Thilakarathne, B. L. S.; Kondarage, Yashodha G.; De Silva, Rajitha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The use of 3-Dimensional (3D) printing, known as Digital fabrication (DF) or additive manufacturing (AM), technology in the food sector has countless potential to fabricate 3D constructs with complex geometries, customization, ...
  • Design of an auto disconnecting regulator and a safety switch to prevent domestic gas leakages 
    Rajapaksha, R.M. I. U.; Perera, P.S.H.; Nandasena, P.K.D.M.; Gunarathna, P.S.T.K.; Kanishka, P.P.D. Gihan; Ranaweera, A.L.A.K.; Kalingamudali, S.R.D. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    There is a growing demand for research in various aspects of smart homes. Automated security systems are an integral part of smart homes. Liquid Petroleum Gas (LPG) is one of the popular fuels used in domestic cooking. ...
  • Design of an Online Platform for the Agriculture Community to Localise Scientific Knowledge and Foster Sustainability 
    Pathirage, Samya; Ginige, Athula (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Sustainable agricultural practices are critical to emerging global hunger and environmental issues. Knowledge is the key to improving such practices. In agriculture, knowledge is categorized as local and scientific, where ...
  • 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 ...
  • 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 ...
  • Detecting human emotions on Facebook comments 
    Chathumali, E.J.A.P.C.; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Human emotion detection plays a vital role in interpersonal relationships. From the early eras, automatic recognition of emotions has been an active research topic. Today, sharing emotions on social media is one of the ...
  • Detecting plagiarism in multiple Sinhala documents 
    Ganepola, G.A.U.E.; Wijayasiriwardhane, T.K. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Availability of unlimited information resources over the Internet and the advancement of the Internet search engines such as Google to locate those resources much easily have contributed to an increase of plagiarism. Though ...
  • Detection of IoT Malware Based on Forensic Analysis of Network Traffic Features 
    Nimalasingam, Nisais; Senanayake, Janaka; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The usage of Internet of Things (IoT) devices is getting unavoidable lately, from handheld devices to factory automated machines and even IoT embedded automotive vehicles. On average, 100+ devices are connected to the IoT ...

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