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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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  • Machine Learning Approach to Predict Mental Distress of IT Workforce in Remote 
    Gamage, Sanduni Nilushika; Asanka, P. P. G. Dinesh (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    When considering online workers, due to the emergence of the coronavirus pandemic prevailing in the world, employees have been restricted to work remotely for a prolonged period. All the working arrangements are now based ...
  • 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 ...
  • A Miniaturized Printed Dipole with Non-Uniform Meander Lines for Ultra High Frequency – Radio Frequency Identification Passive Tags 
    Wickramasinghe, Shyama; Jayasinghe, Jeevani; Senadeera, Melaka (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    A non-uniformly meandered printed dipole antenna is proposed to be used as a passive Ultra High Frequency – Radio Frequency Identification (UHF RFID) chip-based sensor tag. A printed, modified dipole antenna, with an overall ...
  • A Model to Optimize the Sales and Purchases Invoice Payments of Working Capital in the Fast-Moving Consumer Goods Industry 
    Rathnasekara, J. P. D. T.; Wijayanayake, A. N.; Withanaarachchi, A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Working capital optimization is critical in real business scenarios since it changes dynamically along with complex physical cash flows. In previous literature, working capital payment optimization mainly focused on the ...
  • Network Design Optimization for Retail Distribution Supply Chain Considering Capacities of Distribution Centers under Disruptions 
    Madhushan, K. G. Methmi; Kavirathna, C. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Distribution in the retail supply chain (SC) is a core function of taking products to the customer. Supply chain network design (SCND) plays a major role in retail distribution in determining the best ways to locate ...
  • Overall and Feature Level Sentiment Analysis of Amazon Product Reviews Using Machine Learning Techniques and Web-Based Chrome Plugin 
    Welgamage, V. R.; Senarathne, U. A. C.; Madhubhashani, N. H. A. C.; Liyanage, T. C.; Dinesh Asanka, P. P. G. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    One of the critical tasks of Natural Language Processing (NLP) is sentiment analysis or opinion mining. Sentiment analysis has gained much attention in recent years. It collects data on each user's views, feelings, and ...
  • Performance Comparison of Neural Network Models on Edge Devices Using Face Mask Detection System 
    Attanayka, M. S. M. C. K. B.; Malkanthi, M. C. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    COVID-19 pandemic has affected the human lifestyle in an unprecedented way. Apart from vaccination, one of the best precautionary measures is wearing masks in public. Face Mask detection models that are deployable on single ...
  • Performance Optimization of Microservice Applications under Resource Constrained Environments 
    Fernando, Ravindu; Wickramaarachchi, Dilani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Performance of microservice applications deployed on cloud platforms have a non-linear relationship with resources allocated to each service of the application. Applications can be limited by fixed resource budgets or ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Real-Time Exam Anomaly Detection in Moodle-based Exam Systems with an AI Agent 
    Akalanka, P. D. A. U.; Manathunga, Kalpani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Online education takes a high priority in the modern world because technology is evolving so rapidly that education needs to adapt to this changing and evolving technology. However, after the COVID-19 pandemic, e-learning ...
  • 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 ...
  • Security Architecture Development in Internet of Things Operating Systems 
    Sachindra, U. G. T.; Rajapaksha, U. U. S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Due to the widespread use of the Internet of Things (IoT) in recent years, the need for IoT technologies to handle communications with the rest of the globe has grown dramatically. Wireless sensor networks (WSNs) play a ...
  • Sentiment Analysis of ASOS Product Reviews Using Machine Learning Algorithms by Comparing Several Models 
    Soundearajah, Sahithya; Asanka, P. P. G. Dinesh (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Digital ratings are crucial in improving international customer communications and impacting consumer purchasing trends. To obtain important data from a massive number of customer reviews, they must be sorted into positive ...
  • Sentiment Analysis on Twitter Data Related to Online Learning During the Covid-19 Pandemic 
    Senadhira, K. I.; Rupasingha, R. A. H. M.; Kumara, B. T. G. S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    With the outbreak of the Corona Virus Disease (COVID-19), nearly all educational associations throughout the world have been working tirelessly to supply online education. Students with opportunities for ongoing learning ...
  • Simulation-Based Efficiency Assessment of Integrated First-Mile Pickup and Last-Mile Delivery in an E-Commerce Logistics Network 
    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 ...
  • 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 ...
  • Strategic Decision Making for a Resilient Supply Chain during a Pandemic 
    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 ...
  • Success Factors and Performance Measures of Retail Pharmacies in Sri Lanka 
    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 ...

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