• Unleashing Farm Potential: The Role of Entrepreneurial Orientation for Jaffna Banana Growers 

  Rochelle, E.J.S.; Anjalee, G.H.I. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)

  Banana (Musa spp.) is an attractive perennial crop for smallholder farmers that is the most widely grown and consumed fruit in Sri Lanka. Despite the crop’s importance and attraction, the banana sub-sector encounters ...
• Developing an Effective Management Method for Little Leaf Disease in Brinjal (Solanum melongena L.) Caused by Phytoplasma in Sri Lanka 

  Abinaya, N.; Pinthujan, P.; Rajeshkanna, S. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)

  Little leaf disease (LLD) is highly destructive to brinjal cultivation in Sri Lanka. LLD is cumbersome in the field since the causal agent is a phytoplasma spread by insect vectors. A study was conducted with the objective ...
• Physicochemical and Functional Properties of Amban Banana Corm Flour (Musa accuminata spp); Waste Utilization of Banana Cultivation 

  Dhanasekara, D.M.C.A.; Jayasooriya, M.C.N. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)

  Banana corm is an underutilized crop waste that shows many Ayurvedic medicinal uses other than as a bio-fertilizer; slow decaying rates may make it more vulnerable to a harboring place for banana-weevils (Cosmopolites ...
• 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 ...

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