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FARS - 2023: Recent submissions

  • THE APPROACHES OF PERSONALIZED ADVERTISEMENTS IN TELEVISION USING MACHINE LEARNING 
    Anuruddha, I.D.; Suthaharan, S.S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    In recent years, personalized television advertising that uses machine learning methods to boost interaction with viewers and the success of advertisers have received a lot of attention. In this investigation, we have ...
  • EMOTION DETECTION FROM TEXT BASED SENTENCES USING MACHINE LEARNING 
    Jayasinghe, H.; Thirukumaran, S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    In the realm of digital communication, extracting emotions from text assumes a pivotal role in deciphering human sentiment. This research delves into the significance of discerning sentiments from textual content, leveraging ...
  • SPAM EMAIL CLASSIFICATION AND IDENTIFICATION 
    Keerththana, K.; Charles, E.Y.A. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Email has become one of the most wide spread ways of communication in today’s society. Email spam, commonly known as junk email, spam mail, or simply spam, refers to unsolicited messages sent in large quantities through ...
  • SOLUTION OF LAPLACE EQUATION BY DIFFERENTIAL TRANSFORM METHOD 
    Kularathna, R.S.M.; Kajan, N. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    The Laplace equation is a fundamental partial differential equation with wideranging applications in various scientific and engineering domains. In this research, we explore four distinct scenarios governed by the Laplace ...
  • IDENTIFICATION AND CLASSIFICATION OF BRINJAL LEAF DISEASES USING DEEP LEARNING 
    Amirthalingam, T. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Predominantly being an agricultural nation Sri Lanka relies heavily on cultivation of cereal and vegetable crops with approximately 40% of country’s population engaged in agriculture. In Sri Lanka, specifically in Jaffna ...
  • SENTIMENT ANALYSIS FOR SRI LANKAN NEWS PAPER HEADLINES USING MACHINE LEARNING AND DEEP LEARNING METHODS 
    Pirakasini, M. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Newspaper headlines have emerged as a ubiquitous form of communication in our modern society. These succinct news snippets hold the power to shape public perception and influence opinions on a wide range of topics. However, ...
  • AN IMPROVED ALGORITHM FOR LOGISTIC REGRESSION IN CLASSIFICATION 
    Tharsika, I.; Kayanan, M.; Yogaraja, B. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Logistic regression is an essential tool in the world of machine learning and statistical modeling and is often used for binary classification tasks. The Maximum Likelihood (MLE)estimator is being used to fit the logistic ...
  • WEIGHTED ENSEMBLE DEEP LEARNING FOR AUTOMATIC CLASSIFICATION OF SRI LANKAN BUTTERFLY FAMILIES 
    Tharaha, N.; Keerthanaram, T. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Butterfly diversity plays a vital role within ecosystems. Traditionally, butterfly species identification has been a labor-intensive and error-prone task, demanding expertise and time from specialists. To address this ...
  • ENHANCING TUBERCULOSIS DIAGNOSIS IN SRI LANKA: A DEEPLEARNING APPROACH WITH CHEST X-RAY IMAGES 
    Tuvensha, J.; Selvendra, S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Tuberculosis (TB) is a severe and potentially life-threatening global health concern. Due to limited access to advanced diagnostic technologies, early detection of this disease can be challenging. Early detection is vital ...
  • THYROID NODULE CLASSIFICATION IN ULTRASOUND IMAGES: A DEEPLEARNING APPROACH USING SRI LANKAN DATA 
    Rinusga, R. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Thyroid nodules have garnered worldwide attention due to thyroid cancer ranking as the fifth most prevalent cancer among women. In Sri Lanka, the concern is even more pronounced, as it stands as the second most common ...
  • INFORMATION-DRIVEN BRAIN NETWORK MODULE DETECTION: INSIGHTS FROM AGING AND ALZHEIMER’S 
    Vanathy, T. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    In the study of brain networks, modules play a crucial role as they represent subsets of highly interconnected nodes, typically comprising anatomically neighboring or functionally related cortical regions. Accurate module ...
  • MULTI-LABEL SEGMENTATION OF BRAIN WHITE MATTER STRUCTURES USING DEEP LEARNING TECHNIQUES 
    Bramyah, S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Accurate segmentation of brain white matter structures is fundamental for understanding anatomical connections that provide insights into brain structure and function. Diffusion-weighted MRI (DWMRI) is a unique in vivo ...
  • NETWORK TRAFFIC CLASSIFICATION USING DEEP LEARNING 
    Neethini, J. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    With the rapid expansion of the Internet and the rise of online applications, the importance of network traffic classification has grown significantly. Many studies have explored this area, resulting in a variety of ...
  • CENTRALITY IN BRAIN NODE GROUPS: AN INVERSE INVESTIGATION WITH CLINICAL INSIGHTS 
    Jenusiya, J.; Srivishagan, S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Structural brain networks refer to the representation of the human brain’s anatomical connections, which has given rise to various applications in neuroscience. Various network measures have beenproposed toanalyze the brain ...
  • IOT BASED AUTOMATED GREENHOUSE WITH GSM TECHNOLOGY 
    Nasik, S.A.M.; Arudchelvam, T. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Nowadays automation is considered as an essential feature in every field. It helps people to do their work without much human intervention. Therefore, even a person who doesn’t have much knowledge in a particular field can ...
  • CROP RESIDUES AND FRUITS TO PRODUCE GOOD QUALITY SILAGE 
    Mifra, M.J.F. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Silage is a cattle feed which can be used during dry season when there is no pasture or fodder to feed them. Crop residues are also valuable source of cattle feed. Utilizing the residues is very effective in returning plant ...
  • RECLAMATION OF SALINE SOIL UTILIZING THE EFFICACY OF SULPHATE OF POTASH AND PARTIALLY BURNT PADDY HUSK 
    Pithuja, S.; Premananadarajah, P. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Soil degradation due to salinity is a critical environmental concern, with significant implications for both agricultural systems and the environment. This issue is particularly evident in Navatkadu, located within the ...
  • CONSTRUCTED WETLANDS FOR TREATING REVERSE OSMOSIS BRINE WATER GENERATED BY DOMESTIC LEVEL RO FILTRATION SYSTEM 
    Kajan, B.; Sutharsan, M.E. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    Several studies indicated that the major issue of RO plant is brine generation (Reverse Osmosis Concentrate-ROC) as by-product. ROC is mainly discharged into natural water bodies andinto the groundwithorwithoutdilution. ...
  • ASSESSING THE SURFACE WATER QUALITY IN ANURADHAPURA, SRI LANKA 
    Fonseka, G.K.D.; Amarathunga, A.A.D.; Pemarathna, S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    The major tanks in Anuradhapura district such as Kalawewa, Rajanganaya, Nachchaduwa, Nuwarawewa, Tissawewa are interconnected as cascade system. These tanks mainly receive water from Mahaweli river diverted towards the ...
  • RICE HUSK CHARCOAL WASTE TO TREAT THE WASTEWATER DISCHARGED BY RUBBER RECLAMATION INDUSTRY 
    Thilanka, C.; Devaisy, S. (Faculty of Applied Science, University of Vavuniya, 2023-10-25)
    This study addresses the substantial environmental challenges associated with the rubber reclamation process, characterized by the generation of two prominent waste streams: wastewater and waste burnt rice husk, termed ...

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