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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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  • Adding Commonsense to Robotic Application Using Ontology-Based Model Retraining 
    Pradeepani, M. K. T.; Jayawardena, C.; Rajapaksha, U. U. S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    In terms of the level of technological capability in the world today, the use of automated robotics is common in various fields. There are large projects going on in many industries that collaborate between robots and other ...
  • Adoptability of Chaos Engineering with DevOps to Stimulate the Software Delivery Performance 
    Arsecularatne, Merishani; Wickramarachchi, Ruwan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The efficiency of the business processes has a major impact on improving the productivity of organisations. Many organisations use IT-related tools, primarily software, to enhance the efficiency of their business processes. ...
  • Affective gaming in real-time emotion detection and music emotion recognition: Implementation approach with electroencephalogram 
    Kalansooriya, Pradeep; Ganepola, G.A.D. ,; Thalagala, T.S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Affective Gaming can be considered as the concept of detecting the real-time emotional state of a player during various stages in gameplay and then enhancing the user interactivity accordingly to the emotional state. Based ...
  • Agent based modeling for unordered traffic in Sri Lanka – An investigation into pedestrian behavior 
    Rathnayaka, K.R.K.S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Rising traffic congestion is an inescapable condition in large and growing metropolitan areas across the world. Main entities of a traffic scenario are pedestrians and vehicles. Police make different rules to control the ...
  • AHP integrated MILP approach to minimize transportation cost to prioritize distribution requirements 
    Madushika, I.K.; Wijayanayake, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Customer satisfaction can be considered as the most important factor for any business as it is tightly linked to revenue and determines the company’s growth and the sustainability. Further it is the leading indicator of ...
  • Alapana Generation Using Finite State Machines and Generative Adversarial Networks 
    Jayatharan, Vithushigan; Alwis, Dileeka (Jayatharan Vithushigan; Alwis Dileeka (2023), Alapana Generation Using Finite State Machines and Generative Adversarial Networks, International Research Conference on Smart Computing and Systems Engineering (SCSE 2023), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. Page 6, 2023)
    The recent advancements in deep learning techniques and computational power have promoted the development of novel approaches for music generation. In this study, generating alapana, an improvisational form of Carnatic ...
  • Analysis and detection of potentially harmful Android applications using machine learning 
    Kavneth, G.A.S.; Jayalal, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    With the rapid advancement of technology today, smartphones have become more and more powerful and attract a huge number of users with new features provided by mobile device operating systems such as Android and iOS. Android ...
  • Analysis of Factors Influencing the Virtual Learning Environment in a Sri Lankan Higher Studies Institution 
    Charanya, R.; Kesavan, 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)
    A project is commonly acknowledged as a successful project when the aim of the project is achieved positively. A system called Virtual Learning Environment (VLE) was designed among the students and university academic ...
  • Analysis of historical accident data to determine accident prone locations and cause of accidents 
    Ifthikar, A.; Hettiarachchi, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Road traffic accidents causes great distress and destroy the lives of many individuals. Inspite of different attempts to solve this problem, it still resides as a major cause of death. This paper proposes a system to analyse ...
  • Analyzing Factors that Impact on Performance of Pickers in Third-Party Logistics Warehouses in Sri Lanka 
    Prasadika, A. P. K. J.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Order picking is the most crucial and expensive operation in a warehouse which affects customer satisfaction and the profitability of the warehouse. Picker is the employee who is responsible for the order picking process. ...
  • Anomaly detection in cloud network data 
    Yasarathna, Tharindu Lakshan; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Cloud computing is one of the most rapidly expanding computing concepts in the modern IT world. Cloud computing interconnects data and applications served from multiple geographic locations. A large number of transactions ...
  • Applicability of crowdsourcing for traffic-less travelling in Sri Lankan context 
    Senanayake, J.M.D.; Wijayanayake, J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction ...
  • 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 ...
  • Application of Game Theory on financial benefits and employee satisfaction: Case study of a state bank of Sri Lanka 
    Jayasekara, D. D. G. T.; Wijayanayake, A. N.; Dissanayake, A. R. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The principal agent problem revolves around the competing interest between shareholders and the employees. The organization focus is on maximizing shareholder wealth, while employees try to obtain the maximum benefits for ...
  • An Application of Transfer Learning Techniques in Identifying Herbal Plants in Sri Lanka 
    Azeez, Y.R.; Rajapakse, C. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Sri Lanka has a considerable collection of plant species that have been utilized for generations as medicinal treatments. Knowledge regarding herbal plants is restricted mainly among practitioners in traditional ...
  • An approach to coexistence analysis between agility and ERP implementation 
    Rajakaruna, R.J.P.K.; Wijayanayake, J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Business organizations tend to re-engineer their business processes by adopting Enterprise Resource Planning (ERP) systems in order to gain a competitive advantage. ERPs offer countless benefits by enabling an enterprise ...
  • 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. ...
  • Aspect-based sentiment analysis on hair care product reviews 
    Kothalawala, Malki; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Nowadays, with almost everything being shared online, people are more verbal about their consumer experiences with products via reviews. Reviews can be vital for manufacturers to get insights into consumer opinions and ...
  • An assessment of machine learning-based training tools to assist Dyslexic patients 
    Sathsara, G.W.C.; Rupasinghe, T.D.; Sumanasena, S.P. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Dyslexia is a language based disability, where the patients often have difficulties with reading, spelling, writing and pronouncing words. The reading speed of Dyslexics tend to be lower than their equivalents, because of ...
  • 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 ...

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