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Now showing items 1-20 of 39

Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels Using Machine Learning

Krishnananthan, S.; Puvanendran, S.; Rukshani, P. (Springer, 26-10-21)

This study focuses on the prediction of the Diabetic Patients through the sugar levels. The Dataset is analyzed using the data mining techniques such as feature extraction, associate rule mining and classification. The ...
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. ...
Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?

Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (SCITEPRESS, 24-02-16)

Advances in machine learning and image feature representations have led to great progress in pattern recognition approaches in recognising up to 1000 visual object categories. However, the human brain solves this problem ...
Artificial Neural Network Analysis in Finance: Evidence using a Literature Review

Kethmi, G.A.P.; Perera, W.A.S.C. (MAT Journals, 01-12-21)

Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is inspired by the operation of neurons in the human brain and machine language made possible to use neural networking in data ...
Automated Identification of Polytene Chromosomes Banding Pattern using Image Processing Techniques

Niroshi, J.; Ananthakrishnan, K.; Ratnarajah, N. (Vavuniya Campus of the University of Jaffna, 01-10-19)

An automated method has been developed to identify the dark bands and light-inter bands in the Polytene chromosomes microscopic images using the digital image processing algorithms. Polytene chromosomes are specific ...
Automatic Labelling & Classification for Research Papers of Wildlife in Sri Lanka

Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (FACULTY OF INFORMATION TECHNOLOGY, UNIVERSITY OF MORATUWA, SRI LANKA, 03-12-20)

Sri Lanka, is one of the global biodiversity hotspots, which contains a larger variety of fauna and flora. But nowadays Sri Lankan wildlife faced many issues because of poor management and policies to protect wildlife. The ...
Automatic Segmentation of Lung Nodule From CT Images Using Fuzzy C-Means Clustering Algorithm and Active Contour Model

Rajeetha, T.; Venuja, S. (Sabaragamuwa University of Srilanka, 24-02-21)

Lung nodule segmentation is an important part in computer-aided diagnosis (CAD) system for lung cancer detection and diagnosis. The key issue in CAD of lung nodule is to correct and accelerate rapid segmentation of diseased ...
Comparison of Single-Line Rate for Dedicated Protection on WDM Optical Network Topologies

Suthaharan, S.; Danusha, S.; Perera, W. A. S. C. (IEEE, 01-12-16)

Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several nonoverlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
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 ...
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 ...
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 ...
An Efficient Bag-of-Feature Representation for Object Classification

Vinoharan, Veerapathirapillai; Ramanan, A. (ELCVIA, 16-12-21)

The Bag-of-features (BoF) approach has proved to yield better performance in a patch- based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as ...
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 ...
Fraud Detection Mechanism Using Machine Learning

Lojenaa, N.; Nawarathna, R.D. (Rajarata University of Sri Lanka, 30-06-20)

Banks provide their services to make money transactions and other money-based banking activities. The basic concept of the bank is the transaction of money; it can be either manual or digital through multiple channels. ...
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 ...
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 ...
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. ...
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 ...

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