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Browsing Faculty Annual Research Session by Publication Date

Browsing Faculty Annual Research Session by Publication Date

Now showing items 1-20 of 28

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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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, ...
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. ...
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. ...
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 ...
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 ...
A Multi-Network Blockchain Framework for Rapid Fund Protection and Transaction Data Analysis in Compromised CryptocurrencyWallets

Jayakodi, M.M.H.M.; Thilakarathna, M.P.S.K.N.; Nufla, G.F. (Faculty of Technology Studies University of Vavuniya, 2025)

Cryptocurrency wallet security is vital, with private key compromises causing $2.2 billion in losses in 2024 (Chainalysis, 2024). This research introduces a multi-network blockchain framework to safeguard funds in ...
Multi-Parameter Approach to Performance optimization in Software Defined Networking

Fathima Masma, S.; Suthaharan, S.S. (Faculty of Technological Studies, University of Vavuniya, 2025)

Software Defined Networking (SDN) represents a transformative shift in network design, where network control and configuration are managed centrally through software based applications rather than being distributed across ...
A Framework for Offline Screen Time Control Inchildren: Focus on TV, Gaming Behaviour Studies

Asana Sajahan, F. (Faculty of Technological Studies, University of Vavuniya, 2025)

Effective management of children’s screen time has become a significant concern for parents, particularly working parents, as excessive exposure to digital devices can adversely affect children’s psychological and developmental ...
Designing a Socio-Technologically Adaptable, Scalable Peer-to-Peer Accommodation Platform to Support SMEs in Sri Lanka After the Crisis

Rajapaksha, R.W.V.A.S.C.; Ranasooriya, U.E. (Faculty of Technological Studies, University of Vavuniya, 2025)

The tourism industry is a globally significant sector that contributes substantially to economic growth. However, small and medium-sized enterprises (SMEs) in the tourism\sector face challenges in accessing global digital ...
Real-Time Cattle Monitoring Using Low-Cost IoT Smart Collars with Lora Communication in Sri Lanka’s Dry Zones

Udapola, W.A.K.B.; Ravichandran, R.; Imalka Randev, K.T.; Shashika Theekshana, V.P.; Roshan, S.; Nanduni Sanjana Wanniarachchi, D.; Yohan Shanuka, J.A.D.; Silva, K.C.N.A.; Bandara, S.M.S.G.T.L. (Faculty of Technological Studies, University of Vavuniya, 2025)

Effective free-range cattle management remains a critical challenge for smallholder farmers in the rural and dry zones of Sri Lanka due to crop damage, theft, and accidents caused by uncontrolled livestock roaming. This ...
IoT-Enabled Face Recognition Attendance Systems for University Students in Sri Lanka

Jayathilaka, V.A.N.T.; Ravichandran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)

This study presents a comprehensive face recognition attendance system designed for educational institutions in Sri Lanka. The system leverages Insight Face's buffalo l model as the primary recognition engine, achieving ...
Automated Student Attendance Management Using Real-Time Face Recognition

Kavindya, S.A.S.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)

This paper presents a facial recognition-based student attendance management system aimed at automating and improving accuracy for students attending extra classes. Traditional manual attendance methods are time-consuming ...
Enhancing Flow Rule Eviction Policy in Software Defined Network

Vithuckshiha, P.; Shriparen, S. (Faculty of Technological Studies, University of Vavuniya, 2025)

Traditional network architectures struggle under high-volume, real-time traffic. Software Defined Networking (SDN) separates control and data planes to enable centralized control, but switch flow-table capacity remains a ...

Browsing Faculty Annual Research Session by Publication Date

Browsing Faculty Annual Research Session by Publication Date

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