Digital Repository

Browsing Smart Computing and Systems Engineering - 2022 (SCSE 2022) by Issue Date

Browsing Smart Computing and Systems Engineering - 2022 (SCSE 2022) by Issue Date

Sort by: Order: Results:

  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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 ...
  • 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 ...
  • 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 ...
  • Factors Influencing the Secondary Level Students’ Satisfaction in E-Learning: A Case Study of an Educational Institute in Sri Lanka 
    Jayanett, W. I.; Jayalal, Shantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    With the covid-19 pandemic, e-learning has shown significant growth in Sri Lanka over the last few years. As a remedy to sudden school closure during the covid-19 outbreak, educational institutes have adopted e-learning ...
  • Examine the Impact of IoT for Supply Chain-Based Operations in ERP Systems: Systematic Literature Review 
    Paththinige, Pavani; Thilakarathne, Kasun; Rathnasekara, Tenisha; Wickramaarachch, Ruwan; Withanaarachchi, A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    This study intends to look into the various ways that Industry 4.0 elevates the capabilities of ERP systems. Over recent years, it is evident that the Industry 4.0 concept has been the birthplace of many innovative ...
  • Identifying the Influential Factors in Applying the Just-in-Time Delivery Method to the Material Supply Chain in Sri Lankan Apparel Companies 
    Dissanayaka, D. M. N. D. B.; Kavirathna, C. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Most apparel companies are facing inventory problems when storing raw materials and finished goods every year. Just in Time (JIT) delivery method can be an efficient solution for these problems as this method attempts to ...
  • Evaluating the Factors that Affect the Adoption of Blockchain Technology in the Pharmaceutical Supply Chain - A Case Study from Sri Lanka 
    Paththinige, Pavani; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    One of the significant causes of medicine counterfeiting is the pharmaceutical industry's inadequate supply chain system, which makes it hard to keep track of it. This study aims to identify the factors affecting the ...
  • Review of the State-of-the-Art of ERP 4.0 Systems 
    Rathnayake, Hasitha; Vimukthi, Lahiru; Gamage, Methmi; Wickramaarachchi, Ruwan; Withanaarachchi, A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    This study looks into the various ways that Industry 4.0 elevates the capabilities of ERP systems. Over recent years, it is evident that the Industry 4.0 concept has been the birthplace of many innovative technologies ...
  • An External Device to Automate Cricket Bowling Machine 
    Dissanayake, Kavishka V.; Wijethunga, Sahan I.; Dissanayake, Ramitha K. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    A Cricket bowling machine is a useful device to improve the batting performances of cricket players. Typically, a bowling machine needs a skilled operator to feed the balls and control it, i.e. to manually select the bowling ...
  • Automated Spelling Checker And Grammatical Error Detection And Correction Model for Sinhala Language 
    Goonawardena, Mithma; Kulatunga, Ashini; Wickramasinghe, Raveena; Weerasekara, Thisuraka; De Silva, Hansi; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Sinhala is a native language spoken by the Sinhalese people, the largest ethnic group in Sri Lanka. It is a morphologically rich language, which is a derivation of Pali and Sanskrit. The Sinhala language creates a diglossia ...
  • Mapping of Sri Lankan Road Signs by Using Google Street View Images 
    Kiridana, Y. M. W. H. M. R. P. J. R. B.; Weerarathna, P. L. M.; Wijesingha, W. P. D. Y.; Aashiq, M. N. M.; Kumara, W. G. C. W.; Haleem, M. A. L. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The development of autonomous vehicle driving systems and Intelligent Transportation System (ITS) have drawn massive attention since the 1980s. For the development of ITS, road sign detection and identification are considered ...
  • Personalized Classification of Non-Spam Emails Using Machine Learning Techniques 
    Dinendra, Harsha; Rajapakse, Chathura; Asanka, P. P. G. Dinesh (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    With the advent of computer networks and communications, emails have become one of the most widely accepted communication means, which is faster, more reliable, cheaper, and accessible from anywhere. Due to the increased ...

Search Digital Repository


Browse

My Account