Browsing FARS - 2021 by Publication Date

Browsing FARS - 2021 by Publication Date

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  • Identification of autism spectrum disorder stage using ordinal logistic LASSO regression 
    Karunathilake, T.G.I.M. (Faculty of Applied Science, 15-09-21)
    Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects communication, social interaction, and behavioural skills. ASD affects children at the age of two years old and continues lifelong. Occurrences ...
  • 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 ...
  • 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 ...
  • Suggesting appropriate business opportunities using a supervised learning approach 
    Thiranjaya, D.D.S.; Liyanage, C.R. (Faculty of Applied Science, 2021-09-15)
    It is a global understanding and a duly recognized fact that businesses and entrepreneurship play a vital role in an economy of a country. When it comes to employment generation, economic growth, and social cohesion and ...
  • 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 ...
  • Benchmarking performance of text classifiers for imbalanced data 
    Upeksha, L.; Yasotha, R. (Faculty of Applied Science, 2021-09-15)
    A goal of a text classifier is to classify text documents into defined categories automatically. Classification belongs to supervised learning, where the targets are also provided with the input data. Traditional classification ...
  • Development of a humanoid robot mouth with text-to-speech ability 
    Harshani, L.K.M.D.; Weerasooriya, W.M.A.S.B.; Herath, H.M.C.S.; Alahakoon, P.M.K.; Kumara, W.G.C.W.; Hinas, M.N.A. (Faculty of Applied Science, 2021-09-15)
    This is a study of lip movements when speaking the English language, developed humanoid robot face with moving lips and text-to-speech ability. A humanoid robot face is a robotic face capable of mimicking an actual human ...
  • 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 ...
  • 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 ...
  • Fine-grained sentiment analysis on food recipe reviews 
    Madushani, P.P.E.; Arudchelvam, T. (Faculty of Applied Science, 2021-09-15)
    Among an oversized variety of food recipes available on the web, only some recipes are posted appropriately. The dish might not appear identical when preparing the dish by reading a specific food direction. It is imperative ...
  • 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 ...
  • Early warning system for human-elephant conflict in Sri Lanka 
    Sewwandi, H.A.M.; Rumeshika, A. (Faculty of Applied Science, 2021-09-15)
    Elephants are essential indicators in an ecosystem. Human-elephant conflict (HEC) arises when elephants move to human livelihood. HEC is one of the significant problems in Sri Lanka. A variety of technologies have been ...
  • Adulteration and quality of black tea in Sri Lankan market 
    Gunathilaka, D.M.N.M.; Warnasooriya, W.M.R.S.K. (Faculty of Applied Science, 2021-09-15)
    Adulteration of tea is becoming a severe issue in the Sri Lankan tea industry. Black tea is adulterated with sugar, glucose, sodium bicarbonate and ferrous sulphate to improve its colour and sand, iron fillings and leather ...
  • Biofunctional stirred yoghurt production using Mangosteen (Garcinia mangostana L.) peel powder extrac 
    Wimanshinee, A.G.N.; Shamika, D.G.H.; Arampath, P.C. (Faculty of Applied Science, 2021-09-15)
    Mangosteen (Garcinia mangostana L.) peel powder (MPP) extract was incorporated to develop stirred yoghurt rich in functional properties. Mangosteen peels are seasonal agricultural waste, rich in phenolic compounds and ...
  • A confirmatory factor analysis in identifying the nature of mental health in Jaffna society: A follow-up study 
    Elankumaran, C. (Faculty of Applied Science, 2021-09-15)
    This study focuses on the nature of mental health conditions in post-war Jaffna society, which was carried out in 2018. This is a follow-up study of the Jaffna socio-economic health study performed in 1999. The general ...
  • Evaluating the properties of paddy-grown soil after biofertilizer application 
    Dishalini, V.; Premanadarajah, P. (Faculty of Applied Science, 2021-09-15)
    This experiment evaluated the soil properties of paddy crop at clay loam soil in Kilinochchi by using different fertilizer sources, including two types of biofertilizer, Azolla, in a symbiotic relationship with Anabaena ...
  • A conceptual model to detect seat damages in train compartments 
    Rathnadasa, W.H.D.; Nuwan, L. (Faculty of Applied Science, 2021-09-15)
    Railway transport is one of the most popular public transportation mechanisms, which serves about seven million passengers daily. The Department of Railways has provided various provisions and safety regulations to provide ...
  • Analyzing the risk level of diabetic neuropathy using data mining techniques 
    Priyadarshani, A.W.S.M.; Jayaneththi, J.K.D.B.G. (Faculty of Applied Science, 2021-09-15)
    Diabetic neuropathy is one of the severe complications that damage diabetic patient’s nerves throughout their bodies. This complication will cause pain and numbness in the legs and feet and affect their digestive system, ...

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