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

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

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  • Ranathunga, M. I. D.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Logistics operations are crucial in the e-commerce supply chain as they deal with high costs as well as they have a significant environmental impact. The first-mile and last-mile delivery operations in e-commerce logistics ...
  • 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 ...
  • Madhavi, B. R. Hasini; Wickramarachchi, Ruwan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Due to the impact of the COVID-19 pandemic, many organizations experienced supply chain disruptions to various degrees. Due to the nature and magnitude of the pandemic, many commonly practiced supply chain practices became ...
  • Pathirage, S. P. D. M.; Kavirathna, C. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Improving the quality and performance of the healthcare environment can assist service providers in developing reliable, cost-effective, and long-lasting healthcare processes, allowing them to improve care delivery and ...
  • Hewapathirana, Isuru; Kekayan, Nanthakumar; Diyasena, Deshanjali (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    As a result of rapid digitisation, online transactions using credit cards have become popular. With this, fraudulent activities have also increased considerably. Although many supervised and unsupervised machine learning ...

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