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Browsing Smart Computing and Systems Engineering - 2021 (SCSE 2021) by Title

Browsing Smart Computing and Systems Engineering - 2021 (SCSE 2021) by Title

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  • Estimation of the incubation period of COVID-19 using boosted random forest algorithm 
    Rathnayake, P. P. P. M. T. D.; Senanayake, Janaka; Wickramaarachchi, Dilani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Coronavirus disease was first discovered in December 2019. As of July 2021, within nineteen months since this infectious disease started, more than one hundred and eighty million cases have been reported. The incubation ...
  • Exploiting optimum acoustic features in COVID-19 individual’s breathing sounds 
    Milani, M. G. Manisha; Ramashini, Murugaiya; Murugiah, Krishani; Chamal, Lanka Geeganage Shamaan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The world is facing an extreme crisis due to the COVID-19 pandemic. The COVID-19 virus interrupts the world’s economy and social factors; thus, many countries fall into poverty. Also, they lack expertise in this field and ...
  • An exploratory evaluation of replacing ESB with microservices in service-oriented architecture 
    Weerasinghe, L. D. S. B.; Perera, Indika (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    With the continuous progress in technology during the past few decades, cloud computing has become a fast-growing technology in the world, making computerized systems widespread. The emergence of Cloud Computing has evolved ...
  • Feature selection in automobile price prediction: An integrated approach 
    Selvaratnam, Sobana; Yogarajah, B.; Jeyamugan, T.; Ratnarajah, Nagulan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Machine learning models for predictions enable researchers to make effective decisions based on historical data. Automobile price prediction studies have been a most interesting research area in machine learning nowadays. ...
  • 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 ...
  • Framework to mitigate supply chain disruptions in the apparel industry during an epidemic outbreak 
    Perera, M. A. S. M.; Wijayanayake, A. N.; Peter, Suren (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 ...
  • Identifying interrelationships of key success factors of third-party logistics service providers 
    Perera, Theruwanda; Wickramarachchi, Ruwan; Wijayanayake, A. N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    To be more cost-effective as well as to maintain a sustainable competitive advantage, many enterprises tend to improve their business practices by having a strong relationship with third-party (3PL) logistics service ...
  • Implementation of a personalized and healthy meal recommender system in aid to achieve user fitness goals 
    Lokuge, Chamodi; Ganegoda, Gamage Upeksha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Recent research implies that people’s urge to stay healthy and fit has drastically improved and currently, many people are in need to maintain their physical fitness incorporating healthy food habits into their lives amidst ...
  • 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 ...
  • A MILP model to optimize the proportion of production quantities considering the ANP composite performance index 
    Thalagahage, N. T. H.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The apparel industry is considered as one of the most labor-intensive industries where Production Planning and Control (PPC) is considered as an important function, because of its involvement from scheduling each task in ...
  • Model to optimize the quantities of delivery products prioritizing the sustainability performance 
    Prabodhika, A. P. K. J.; Niwunhella, D. H. H.; Wijayanayake, A. N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Many manufacturers and retailers often outsource their logistics functions to Logistics Service Providers (LSPs) to focus more on their core business process. Due to the competitiveness and the popularity of the sustainability ...
  • Modelling and validation of arc-fault currents under resistive and inductive loads 
    Karunarathna, Yashodha; Wijayakulasooriya, Janaka; Ekanayake, Janaka; Perera, Pasindu (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Over half of all electrical fires in installations are caused by arcing due to poorly connected equipment or wiring system failures. Therefore, it is essential to detect arcs and interrupt them using a suitable protective ...
  • A novel approach for weather prediction for agriculture in Sri Lanka using Machine Learning techniques 
    Premachandra, J. S. A. N. W.; Kumara, P. P. N. V. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Climate variability in recent years has critically affected the usual aspects of human lives, where the agriculture sector can be considered as one of the most vulnerable. Sri Lanka is also facing these climate changes ...
  • 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 ...
  • Reduce food crop wastage with hyperledger fabric-based food supply chain 
    Premarathna, Dewmini (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Food is the utmost important thing for every living being. The quality and safety of food has become a crucial factor in the food industry. Most of the customers tend to pay more attention to food safety and seek to get ...
  • Simulation analysis of an expressway toll plaza 
    Grabau, Shehara; Hewapathirana, Isuru (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Since the early civilizations, transportation has played a significant role, from fulfilling basic human needs to contributing towards major economic growths all over the world. With the advancement in technology, the ...
  • 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 ...
  • Solution approach to incompatibility of products in a multi-product and heterogeneous vehicle routing problem: An application in the 3PL industry 
    Weerakkody, H. D. W.; Niwunhella, D. H. H.; Wijayanayake, A. N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Vehicle Routing Problem (VRP) is an extensively discussed area under supply chain literature, though it has variety of applications. Multi-product related VRP considers about optimizing the routes of vehicles distributing ...
  • Solution approaches for combining first-mile pickup and last-mile delivery in an e-commerce logistic network: A systematic literature review 
    Ranathunga, M. I. D.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Logistics is one of the primary areas of operation within cutting-edge supply chain operations. In the e-commerce supply chain also logistics operations play a vital part. The logistics operations must be controlled ...
  • Student concentration level monitoring system based on deep convolutional neural Network 
    Shamika, U. B. P.; Panduwawala, P. K. P.G.; Weerakoon, W. A. C.; Dilanka, K. A. P. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    As synchronous online classrooms have grown more common in recent years, evaluating a student's attention level has become increasingly important in verifying every student's progress in an online classroom setting. This ...

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