• Underwater Rover using IoT to Track Objects and Organisms under the Water 

  Thivaharan, S.; Suparoopan, S.; Gopy Prasath, S.; Sanoj, S.; Dinojen, T.; Amrithaa, P.; Lojenaa, N.; Kartheeswaran, T. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  Since the underwater world is so complicated, monitoring the underwater has always been challenging. A successful underwater robotic technology could aid the discovery of many hidden insights. This may also facilitate the ...
• THE EFFECT OF FEATURE SELECTION TECHNIQUES ON THE ACCURACY OF HEART DISEASE PREDICTION USING MACHINE LEARNING 

  Lojana, J. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  Artificial intelligence has recently had a significant impact, particularly on the healthcare sector. The use of machine learning has made it possible to predict a number of serious diseases that are now difficult to ...
• SECURE LIGHTWEIGHT NFV ARCHITECTURE ANALYSIS FOR IOT EDGE COMPUTING 

  Raveenthiran, S. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  The IoT is a massive trend within an industry. Its exponential expansion in cloud computing creates new problems. NFV has solutions enabling service providers to scale the networks, integrate intelligence into those networks, ...
• QUALITY PREDICTION OF WATERMELON USING RANKING FEATURE SELECTION METHODS AND MACHINE LEARNING ALGORITHMS 

  Pirunthavi, W.; Sharnitha, T.; Mayuran, P. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  This study was performed on the aim of detecting the quality of the watermelon with eight features; sound, color, root, belly button, texture, sugar rate, density, and touch which were obtained from the Kaggle website. Two ...
• LOSSY IMAGE COMPRESSION USING FREEMAN CHAIN CODE REPRESENTATION 

  Somasundaram, S.; Niranjan, V.; Pujinthan, S. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  In this study, we suggested an algorithm that made use of a Freeman chain code-based compression technique. The method consists of two segments such as compression and decompression. The first is a compression algorithm ...
• INTERACTIVE WEB-BASED PLATFORM TO BOOST THE AGRICULTURAL SECTOR IN SRI LANKA 

  Sooriyakumar, K.; Priyashantha, A.K. H.; Pratheesh, N. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  The agriculture sector plays a vital role in Sri Lanka’s economy. Interestingly, more than 30% of Sri Lankans are involved in the agricultural sector. The vegetable sector is the second most important sub-sector of island’s ...
• IDENTIFICATION OF EXTENSION NEEDS IN TEA PROCESSING: CASE OF LOW COUNTRY TEA FACTORIES 

  Samaraweera, M.K.; Wijeratne, M. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  Sri Lankan tea industry plays a major role in the Sri Lankan economy being one of the important sectors as a foreign exchange earner (SLRs. 240.6 billion in 2019) while providing employment opportunities for 400,000 families. ...
• HYPER PARAMETER TUNED ENSEMBLE APPROACH FOR HEART DISEASE PREDICTION 

  Premananthan, P.; Prasanth, S.; Mauran, K. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  Heart disease is the one of the leading causes of death globally. Despite the fact that the causes of heart disease varied from nation to nation. However, the risk variables would be practically the same. Heart disease ...
• HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK IN THE CONTEXT OF TAMIL LANGUAGE 

  Mariyathas, Janotheepan (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  English language is having a high impact on handwritten character recognition. It is a difficult task to generate a model for character recognition especially for south Asian languages while they are having curves and dots ...
• AN ANALYSIS ON NSL-KDD DATASET USING MACHINE LEARNING TECHNIQUES FOR INTRUSION DETECTION 

  Ranaweera, K.M.; Sakuntala, Edirisingha Dilini (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  With the growth of the usage of computers over the network, security vulnerabilities on all the computer systems seem very difficult and expensive. The Intrusion Detection System (IDS) generates huge numbers of false alerts. ...
• A REVIEW ON ASSESSING STRESS METHODS USING MACHINE LEARNING AND WEARABLE SENSORS 

  Kasuni Piyumika, Y.A. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  Stress is one kind of response to pressure. It can be good according to the situation. Stress management is a very important criterion now because it keeps up one’s stress level low, and health at risk. There can have ...
• A DATA MINING APPROACH TO IDENTIFY THE FACTORS AFFECTING FOR THE ICT RESULTS IN G.C.E ORDINARY LEVEL EXAMINATION 

  Weerasooriya, P.G.P.S.; Kumara, K.K.P.L.; Kumasaru, W.L.S.; Kariyawasam, K.B.G.S.G.; Niroshi, P. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)

  he main aim of the paper is to identify the factors affecting the Information Communication Technology results in the G.C.E. Ordinary Level examination in Sri Lanka. The dataset was collected from the students who are ...
• E-Sign Detector: Image Steganography-Based Employee Identification System 

  Senthooran, V.; Chathuranga, M. T.; Kartheeswaran, T. (IUP Publications, 01-06-16)

  This paper aims to develop a desktop application system called E-Sign detector using image steganography. It targets to fulfill the requirements of small and medium size companies to identify their employers through a ...
• An Experimental Investigation of Statistical Model based Secure Steganography for JPEG Images 

  Senthooran, V.; Ranathunga, L. (Indian Society for Education and Environment, 01-07-17)

  Objectives: This paper intends to propose a secure steganography approach in JPEG compressed domain by providing more possibilities to analyzing the DCT coefficients in lower frequency area by modifying the primary ...
• An Ontology based Data Mining approach for predicting the research ideas using past research in the wildlife sector of Sri Lanka 

  Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (General Sir John Kotelawala Defence University, 16-10-20)

  Sri Lanka being a global biodiversity hotspot, places great value for biodiversity owing to ecological, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due to several ...
• Predicting ratings of YouTube videos based on the user comments 

  Sivakumar, Pirunthavi; Ekanayake, Jayalath (Faculty of Applied Science, University of Vavuniya, Sri Lanka, 15-09-21)

  This project attempted to develop a model to predict the rating of a YouTube video based on the user comments. We extracted the user comments from many YouTube videos to make the sentimental analysis. The keywords were ...
• Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic 

  Sivakumara, Pirunthavi; Wijikumar, Kularasasingam (Sri Jayawardenapura University of Sri Lanka, 07-05-22)

  This study aimsto identify the impact of digital learningin Sri Lankanstate universities and thecontribution of ICT tothe implementation of digital learningduring theCovid-19pandemic. This study also aimsto investigate ...
• A Data Mining and Ontology-Based Approach for Predicting the Research Ideas in the Wildlife Sector of Sri Lanka 

  Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (IIT Ropar, 28-11-20)

  Sri Lanka, is the global biodiversity hotspot, which contains a wide variety of fauna & flora. Also, wildlife is the key player in the tourism industry of Sri Lanka. But still, Sri Lankan wildlife faced many conflicts to ...
• Movie Success and Rating Prediction Using Data Mining Algorithms 

  Pirunthavi, S.; Vithusia, R.P.; Abishankar, K.; Ekanayake, E.M.U.W.J.B.; Yanusha, M. (Uva Wellassa University of Sri Lanka, 30-07-20)

  This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director, and production ...
• Movie Success and Rating Prediction Using Data Mining Algorithms 

  Sivakumar, Pirunthavi; Rajeswaren, Vithusia Puvaneswaren; Abishankar, Kamalanathan; Ekanayake, E.M.U.W.J.B.; Mehendran, Yanusha (Faculty of Management and Commerce South Eastern University of Sri Lanka, 29-12-20)

  This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director and production ...

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