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

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

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  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • A community-based hybrid blockchain architecture for the organic food supply chain 
    Thanujan, Thanushya; Rajapakse, Chathura; Wickramaarachchi, Dilani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    This paper presents a novel blockchain architecture to incorporate community-level trust into the organic food supply chain by hybridizing Proof of Authority (PoA) and Federated Byzantine Agreement (FBA) consensus protocols. ...
  • 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 ...
  • A tree structure-based classification of diabetic retinopathy stages using convolutional neural network 
    Peiris, M. S. H.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Detection, and classification of medical images have become a trending field of study during the last few decades. There is a considerable amount of vital challenges to be overcome. Ample work has been carried out to provide ...
  • What makes job satisfaction in the information technology industry? 
    Arambepola, Nimasha; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Having a rich human resource is critical for an organization to move towards success. Especially, for business organizations such as technology companies, the human resource is the driving factor of the company's growth ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka 
    Sangeevan, Siventhirarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The study proposes a deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka. It is an intelligent system to get suitable pesticides prescriptions for plant leaf diseases. ...
  • Application of AlexNet convolutional neural network architecture-based transfer learning for automated recognition of casting surface defects 
    Thalagala, Shiron; Walgampay, Chamila (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Automated inspection of surface defects is beneficial for casting product manufacturers in terms of inspection cost and time, which ultimately affect overall business performance. Intelligent systems that are capable of ...

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