Smart Computing and Systems Engineering (SCSE): Recent submissions

  • LYZGen: A mechanism to generate leads from Generation Y and Z by analysing web and social media data 
    Senanayake, Janaka; Pathirana, Nadeeka (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Identifying an appropriate target audience is essential to market a product or a service. A proper mechanism should be followed to generate these potential leads and target audiences. The majority of people who were born ...
  • Thought identification through visual stimuli presentation from a commercially available EEG device 
    Gunawardhana, M. P. A. V.; Jayatissa, C. A. N. W. K.; Seneviratne, J. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Thought identification has been the ultimate goal of brain-computer interface systems. However, due to the complex nature of brain signals, classification is difficult. But recent developments in deep learning have made ...
  • Novel deep learning approaches for crop leaf disease classification: A review 
    Ekanayake, E. M. T. Y. K.; Nawarathna, R. D. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    To encourage sustainable progress, it is suggested that in a world connected by virtual platforms, modern society should merge big data, artificial intelligence, machine learning, information and communication technology ...
  • Forecasting foreign exchange rate: Use of FbProphet 
    Raheem, Fanoon; Iqbal, Nihla (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Foreign exchange rate prediction can be considered crucial in today’s world. The exchange rate of a country plays a vital role in its economic growth. The Central Bank of a country holds the authority in managing the ...
  • Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4) 
    Fernando, W. H. D.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Using scenario transformation methodology, we identified four scenarios that indicated a lack of trusted parties to sell harvest has forced smallholder farmers to sell the harvest to brokers who often collect the harvest ...
  • Technology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate prices 
    Kumarathunga, Malni; Calheiros, Rodrigo; Ginige, Athula (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Using scenario transformation methodology, we identified four scenarios that indicated a lack of trusted parties to sell harvest has forced smallholder farmers to sell the harvest to brokers who often collect the harvest ...
  • Smart technologies in tourism: a study using systematic review and grounded theory 
    Nafrees, Abdul Cader Mohamed; Shibly, F. H. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Tourism that uses smart technology and practices to boost resource management and sustainability while growing their businesses' overall competitiveness is known as smart tourism. Information and communication technologies ...
  • Temporal preferential attachment: Predicting new links in temporal social networks 
    Wickramarachchi, Panchani; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Social networks have shown an exponential growth in the recent past. It has estimated that nearly 4 billion people are currently using social networks. The growth of social networks can be explained using different models. ...
  • Architectural framework for an interactive learning toolkit 
    Jayasiriwardene, Shakyani; Meedeniya, Dulani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    At present, a significant demand has emerged for online educational tools that can be used as replacement for classroom education. Due to the ease of access, the preference of many users is focused on m-learning applications. ...
  • Autism spectrum disorder diagnosis support model using InceptionV3 
    Lakmini, Herath; Marasingha, M. A. J. C.; Meedeniya, Dulani; Weerasinghe, Vajira (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Autism spectrum disorder (ASD) is one of the most common neurodevelopment disorders that severely affect patients in performing their day-to-day activities and social interactions. Early and accurate diagnosis can help ...
  • 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 ...
  • Aspect-based sentiment analysis on hair care product reviews 
    Kothalawala, Malki; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Nowadays, with almost everything being shared online, people are more verbal about their consumer experiences with products via reviews. Reviews can be vital for manufacturers to get insights into consumer opinions and ...
  • Relationships between climatic factors to the paddy yield in the North-Western Province of Sri Lanka 
    Wickramasinghe, Lasini; Jayasinghe, Jeevani; Rathnayake, Upaka (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Climate variation is one of the major impacting issues for paddy cultivation. It also highly impacts the harvest. Therefore, many researchers try to understand the relationships between climatic factors and harvest using ...
  • Novel computational approaches for border irregularity prediction to detect melanoma in skin lesions 
    Abeysinghe, D.V.D.S.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Medical image detection has been a rapidly growing field of study during the last few years. There are different challenges associated with it. Many works have been done in order to provide solutions for key challenges. ...
  • Intelligent changeover solution for a domestic hybrid power system 
    Herath, H.M.R.M.; Tharindu, K.H.S.; Fernando, K.D.M.; Alahakonn, P.M.K.; Hirshan, R. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Electricity plays a major role in the modern world as almost all the equipment used is operated using electricity. Electricity demand of the world is increasing day by day and there should be a proper mechanism to meet the ...
  • Predicting examination performance using machine learning approach: A case study of the Grade 5 scholarship examination in Sri Lanka 
    Ranawaka, U.M.; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Universal primary school education is a must requirement and one of the criteria that should be fulfilled by the developing countries according to the International development goals which are also recognized as “Eight ...
  • A survey on applying machine learning to enhance trust in mobile adhoc networks 
    Jinarajadasa, G.M.; Liyange, S.R. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Mobile ad-hoc networks (MANETs) play a vital role in the increasingly networked world where it has many applications in plenty of important fields including military sector, business applications, social networks such as ...
  • Extending use-case point-based software effort estimation for Open Source freelance software development 
    Senevirathne, Dharshitha Srimal; Wijayasiriwardhane, Thareendhra Keerthi (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Accurately predicting the software development effort is very crucial when delivering the software systems on time, within the budget and with the required functionality. Overestimation of the software development effort ...
  • A solution to overcome speech disorder of patients using Brain Neuron EEG Signals 
    Jayawickrama, J.A.D.T.; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Speech disorders are neurodevelopmental disorders such as Stuttering, Dysarthria, Dysphonia and Aphasia associated with left inferior frontal structural anomalies that involve repeating or prolonging a word, syllable or ...
  • Industry 4.0 readiness assessment for apparel industry: A study in the Sri Lankan context 
    Lakmali, Erandika; Vidanagamachchi, Kasuni; Nanayakkara, Julian (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Sri Lankan apparel industry is the most significant and driving contributor to the country’s economy by constituting a large portion of GDP. In the highly competitive apparel world, manufacturers search solutions for ...

Search Digital Repository


Browse

My Account