Browsing FARS - 2021 by Document type "Conference abstract"

Browsing FARS - 2021 by Document type "Conference abstract"

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  • Automated classification of white blood cells from microscopic images 
    Sharcky, M.H.H. (Faculty of Applied Science, 2021-09-15)
    The application of computational techniques is rapidly growing, improving the quality of laboratory analysis and diagnosis. Visual analysis of peripheral blood samples is an important test in the procedures for diagnosing ...
  • An automated translation of SQL to relational algebra: A lexical analysis and rule-based approach 
    Herath, H.M.A.K.; Linosh, N.E. (Faculty of Applied Science, 2021-09-15)
    Both academic and industry has been increasingly paid more attention to the quality of the relational database system. Relational algebra serves as the query language of relational databases that are often used to explain ...
  • Character recognition focusing partially disfigured name boards 
    Lathagini, S.; Suthaharan, S. (Faculty of Applied Science, 2021-09)
    Name boards are the most popular visual aids on roadways, and they help with location identification. Damage to name boards can deface them in various cases. When name boards are severely damaged, it can be difficult for ...
  • Detecting freshness of fruits using carbon dioxide, oxygen and humidity sensors 
    Sammani, K.S.; Jayasinghe, P.K.S.C. (Faculty of Applied Science, 2021-09-15)
    The quality of edible fruits often depends on their freshness; there is no acceptable mechanism to check the freshness of fruits. A combination of technologies such as Arduino and sensors can detect the freshness of the ...
  • Efficient feature selection and prediction for automobile dataset 
    Sobana, S.; Yogarajah, B. (Faculty of Applied Science, 2021-09-15)
    Machine learning is currently the most commonly used branch of computer science, and it can guide better decisions and intelligent actions for high-value predictions in real-time. Researchers can use machine learning model ...
  • Efficient parallel algorithms using multi-core shared-memory architectures for graph measures 
    Sangeetha, M. (Faculty of Applied Science, 2021-09-15)
    Exploring the structural and functional properties of large real-world graphs, such as detecting community structure in large social networks and assessing connectivity of different brain regions in large brain graphs, are ...
  • Evaluating economic losses caused by fall armyworm: A preliminary study in selected areas of Anuradhapura district 
    Herath, H.H.M.I.D.; Weerakoon, A.V.; Prasad, R.P.U.; Senarathne, S.M.M.T.; Herath, K.M.R.K.T.; Sandaruwan, M.K.D.D.; Hettiarachchi, D.K. (Faculty of Applied Science, 2021-09-15)
    The fall armyworm (FAW) or ‘sena dalambuwa’ was first recorded in Sri Lanka in 2018, and very few research works were reported on its status in the country. In the 2019/20 Maha season in Anuradhapura district, this ...
  • Households willingness to adopt renewable energy source in Puttalam city, Sri Lanka: A logit regression approach 
    Fathima, M.; Sivashankar, S. (Faculty of Applied Science, 2021-09-15)
    Due to the adverse effects of extreme usage of non-renewable energy sources affects the environment drastically, the entire world community is switching to renewable energy sources instead of non-renewable energy sources. ...
  • Identification and recommendation of vacant parking slot: A case study 
    Premasiri, K.K.C.T.; Jayasinghe, P.K.S.C. (Faculty of Applied Science, 2021-09)
    Finding a vacant parking slot became time-consuming and frustrating; the advent of mobile apps and sensor technologies on vehicle parking slots paved much attraction. An android app has been developed to identify appropriate ...
  • Melanoma skin cancer detection using deep transfer learning with channel attention 
    Papiththira, S. (Faculty of Applied Science, 2021-09-15)
    Melanoma is a dangerous type of skin cancer. Even though it occurs about one percentage of the population, its death rate is higher than other skin cancers. Melanoma has the potential to spread to other parts of the body ...
  • Morphological changes in the major white matter fibre bundles: A 3D curve analysis 
    Lakshika, G. (Faculty of Applied Science, 2021-09-15)
    Diffusion magnetic resonance imaging (MRI) provides an exclusive window on brain anatomy that allows exploring the brain’s structural connectivity in vivo and non-invasive. Fibre tractography using diffusion MR imaging is ...
  • A sentiment analysis dataset for code-mixed Sinhala-English language 
    Uthpala, K.; Thirukumaran, S. (Faculty of Applied Science, 2021-09-15)
    Communication is an essential part of human life, and technology has been involved in several ways much wider than ever before. Single language often does not reflect on how people communicate naturally. Many parts of the ...
  • Smart billing system for water consumption 
    Sinnalebbe, A.M.; Jayasinghe, P.K.S.C. (Faculty of Applied Science, 2021-09-15)
    In recent years, households’ demand for tap water has increased with the rapid increase of the worlds’ population. However, in Sri Lanka, it is reported that consumers are very low aware of daily water usage with traditional ...
  • Smart postbox 
    Alfered, C.; Yasoharan, T. (Faculty of Applied Science, 2021-09-15)
    Conventional postbox became fancy with the advent of the electronic communication system. Most people lack time to check postboxes periodically; lead to them forgo essential letters. The combination of electronics, ...
  • Static Sinhala sign language recognition using MobileNet convolutional neural network 
    Jagodage, J.P.T.; Umesh, E.R. (Faculty of Applied Science, 2021-09-15)
    The deaf/dumb people cannot exchange their thoughts and ideas using words. They face many difficulties because of that in their day-to-day life. They use sign language to communicate with others-—no standard sign language ...

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