Browsing Research Papers by Title

Now showing items 1-20 of 40

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 ...
Adapting Prompt-Driven Approach for Diabetic Foot Ulcer Segmentation: A Sri Lankan Patient Study

Herath, W.R.G.A.D.P.; Vinoharan, V.; Bramyah, S.; Logiraj, K.; Nagulan, R. (IEEE, 2024-12-05)

Skin disease detection is a critical component of dermatological healthcare, traditionally dependent on dermatologists’ expertise for accurate diagnosis. However, manual diagnosis can be time-consuming and prone to errors, ...
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 ...
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 ...
Classification of Alzheimer’s Disease Stages using Weighted Brain Connectivity based Graph Convolutional Neural Network

Sounthararajah, J.; Kumaralingam, L.; Jegatheeswaran, T.; Srivishagan, S.; Thanikasalam, K.; Ratnarajah, N. (IEEE Xplore, 2025-04-18)

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that manifests in distinct stages, including cognitively normal (CN), mild cognitive impairment (MCI), and severe AD. An early and precise classification ...
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 ...
Crossed-IoT Device Portability of Electromagnetic Side Channel Analysis: Challenges and Dataset

Yasarathna, T.L.; Lojenaa, N.; Barcque, S.; Sayakkara, A.; Le-Khac, N.A. (World Scientific Publishing Company, 2024-02-23)

Internet of Things (IoT) refers to the network of interconnected physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity, enabling them to collect and exchange data. ...
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 ...
Do images really do the talking? Analyzing the significance of images in tamil troll meme classification

Hegde, S.U.; Hande, A.; Priyadharshini, R.; Thavareesan, S.; Sakuntharaj, R.; Thangasamy, S.; Bharathi, B.; Chakravarthi, B.R. (Springer International Publishing, 2025-03-01)

A meme is a part of media created to share an opinion or emotion across the internet. Due to their popularity, memes have become the new form of communication on social media. However, they are used in harmful ways such ...
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 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 ...
Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics

Lojenaa, N.; Scanlon, M.; Le-Khac, N.A.; De Zoysa, K.; Sayakkara, A.P. (Elsevier, 2024-03-15)

Investigation on smart devices has become an essential subdomain in digital forensics. The inherent diversity and complexity of smart devices pose a challenge to the extraction of evidence without physically tampering with ...
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 ...
Explainable Hybrid CNN Swin-Transformer Network for Tuberculosis Diagnosis in Chest X-rays of Sri Lankan Patients

Tuvensha, J.; Logiraj, K.; Selvendra, S.; Nagulan, R. (Sabaragamuwa University of Srilanka, 2024-02-21)

Tuberculosis remains a formidable global health challenge, requiring advanced and interpretable methodologies. Conventional diagnostic approaches for tuberculosis often suffer from outdated techniques and unnecessary ...
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. ...
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 ...

Browsing Research Papers by Title

Browsing Research Papers by Title

Search

Browse

All Collections

This Community

My Account