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Browsing Smart Computing and Systems Engineering (SCSE) by Title

Browsing Smart Computing and Systems Engineering (SCSE) by Title

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  • 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 ...
  • 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 computational approaches for border irregularity prediction to detect melanoma in skin lesions 
    Abeysinghe, D.V.D.S.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Medical image detection has been a rapidly growing field of study during the last few years. There are different challenges associated with it. Many works have been done in order to provide solutions for key challenges. ...
  • A Novel Computational Method to Capture FPGA Technology Trends from Patent Information. 
    Shibata, M.; Takahashi, M. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    This paper provides a novel trend analysis of FPGA development with Machine Learning. Recently, demands for the computing power are expanding due to reform of industrial structure such as the Industry 4.0 and the ...
  • 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 ...
  • Novel machine learning ensemble approach for landslide prediction 
    Madawala, C. N.; Kumara, B. T. G. S.; Indrathilaka, L. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Haphazard development activities on mountain slopes and inadequate attention to construction aspects have led to the increase of landslides and consequently sustaining damage to lives and infrastructure. Nearly 3275 sq.km ...
  • Occupancy Monitoring System for Workplace Washroom 
    Godakandage, V. M. P.; Kothalawala, K. R. M.; Chathumali, E. J. A.; Madhubhashana, A. W. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    With regard to rapid technological advancements majorly influencing our daily lives, Internet of Things (IoT) has been a topic of broad and current interest in the recent years. The capabilities of IoT can assist in ...
  • An optimization model for planning milling quantities based on forecasting of paddy and rice prices 
    Abeyweera, S.; Nanayakkara, J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Rice is considered as the staple food of Sri Lanka. The conversion of paddy in to rice is a main value creation found in the Sri Lankan agricultural industries. The paper deals with the planning concerns, in the supply ...
  • An optimization model to allocate most suitable team members for software development projects 
    Dharmasena, T.W.; Wijayanayake, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Human resource is one of the most important resource that creates value for software development projects. However, this becomes more complex when the required range of skills, knowledge, experience and expertise, increases. ...
  • An optimized solution for mobile robot navigation for dynamic office environments using active simultaneous localization and mapping 
    Dodamgoda, D.A.R.P.; Liyanage, K.I.P.; Rajarathna, R.D.P.L.; Shakya, R.D.N. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    It is a very tedious process to develop a methodology for indoor navigation of mobile robots when it comes to environments with dynamic obstacles. So the objective of this research is to find an optimal solution for mobile ...
  • Organizational Characteristics that Drive Better Work-Life Balance in the Post-Pandemic Teleworking Context: Evidence from the IT Sector in Sri Lanka 
    Prabagaran, Sathurvanan; Wijayanayake, Janaka; Jayasinghe, Shan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Work-life balance is a motivational factor which causes employees to work in the organization steadily in each situation. This study is aimed to examine the organizational characteristics that impact the work-life balance ...
  • 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 ...
  • Part of speech tagging for Twitter conversations using Conditional Random Fields model 
    Fanoon, A.R.F.S.; Uwanthika, G.A.I. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Part-of-Speech Tagging is the technology of assigning the appropriate parts-of-speech to a word. Part-of-speech tagging is very useful in information retrieval, information extraction, and speech processing. This research ...
  • Passion Fruit Disease Detection using Image Processing 
    Dharmasiri, S.B.D.H.; Jayalal, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Fruit diseases are a major problem in economic and production losses in the agricultural industry worldwide. In this paper, an image processing approach is proposed for identifying passion fruit diseases. According to the ...
  • Pedestrian detection using image processing for an effective traffic light controlling system 
    Chathumini, K.G.L.; Kumara, B.T.G.S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Traffic congestion and road pedestrian accident are the two major issues that the Sri Lankan society faced toady. These two issues can be reduced by use of traffic light controlling system in an effective way. This research ...
  • Performance Analysis of Transfer Learning Methods for Malaria Disease Identification 
    Chandrasekara, E.S.K.; Vidanagamachchi, S.M. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Malaria has become a widespread disease and one of the leading causes of many deaths worldwide. Malaria is a blood disease brought on by Plasmodium parasites, which are transmitted by the bite of a female Anopheles mosquito. ...
  • 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 ...

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