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Browsing Faculty of Technological Studies by Document type "Conference paper"

Now showing items 1-20 of 29

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 ...
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 ...
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 ...
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 ...
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 ...
Investigation of the Effectiveness of Goal Programming in Project Management Activities

Senthooran, V.; Niroshi, P. (University of Colombo, 2024-01-25)

The regulation of objectives that are inconsistent with the use of all related resources through the organization is the principal project management (PM) work. In present situations, the project manager is responsible for ...
Keypoints and Codewords Selection for Efficient Bag-of-Features Representation

Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (Springer, 05-04-18)

Bag-of-features (BoF) representation is one of the most popular image representations, that is used in visual object classification, owing to its simplicity and good performance. However, the BoF representation always faces ...
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 ...
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 ...
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 ...
Ontology Based Machine Learning Approach to Automatic Labelling for Research Papers on Wildlife of Sri Lanka

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

Sri Lanka, being a global biodiversity hotspot, places great emphasis on biodiversity from an ecological perspective, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due ...
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 ...

Browsing Faculty of Technological Studies by Document type "Conference paper"

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