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Browsing COMPUTING UNDERGRADUATE RESEARCH SYMPOSIUM by Issue Date

Browsing COMPUTING UNDERGRADUATE RESEARCH SYMPOSIUM by Issue Date

Now showing items 1-20 of 50

Machine Learning-based Quality Detection of Cinnamon from Outer Bark Images

Samarajeewa, S.G.M.D; Balasooriya, W.B.I.S; Rasanjalee, W.G. R; Jeewanthi, J.G.A; Ravihara, M.P.N.; Herath, W.B.P.N. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Cinnamon is a vital component of Sri Lanka's agriculture, internationally recognized for its flavor, aroma, and medicinal properties. Despite its significance, traditional cinnamon quality grading relies on manual visual ...
Assistive Navigation for the Visually Impaired: Real-Time Crosswalk Detection Using Satellite Images and Machine Learning

Thawindi, W.G.M.; Senarathna, W.G.H.R.; Appuhamilage, D.K.M.A.S.N.D.K.M.; Mendis, W.M.H.; Herath, W.B.P.N. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Visually impaired individuals face many challenges when navigating urban areas, particularly when they are crossing streets. Existing navigation tools lack real-time detection of crosswalks, and depend on immediate ...
Enhancing Cloud Computing Performance Through the Integration of Weighted LRU Caching and Dynamic Task Scheduling

Randeni, R.M.S.D. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

The scalability of cloud services comes with performance limitations due to resource contention and inefficient task scheduling. This leading to increased latency, reduced throughput, poor resource utilization, higher ...
Assessing the Role of Internet Connectivity in IT Project Success and Stakeholder Satisfaction in Sri Lanka: A Comprehensive Perspective

Perera, M. A. M. D.; Nirubika, R. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Reliable internet connectivity is crucial for effective project execution, seamless communication, and stakeholder satisfaction in Sri Lanka’s evolving IT sector. However, persistent challenges such as inconsistent quality, ...
A Systematic Review of Latency Reduction Techniques in Smart Home IoT Networks

Vinnath, W.L.V; Abeysinghe, D.V.D.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

The Internet of Things (IoT) is improving automation, security, and energy management by converting traditional living spaces into smart settings. However, latency issues pose significant challenges, affecting the seamless ...
Automated vs. Manual: Investigation of Human Error Associated with Time-related Measurements

Lakmal, H.D.S.M; Ranasingha, K.M.G.G.I.U.; Gunasinghe, P.A.K.G; Lakshan, K.A.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

In this study, we have studied the human error associated with time-related measurements. The free fall of an object is one of the most significant time-related phenomena studied in physics. This study compares manual time ...
A Modification of Hungarian Method to solve One Dimensional Bin Packing Problems

Weerasinghe, T.D.T.; Ekanayake, E.M.U.S.B. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

In bin packing problems, items of various sizes must be packed into a limited number of bins or containers, each with a fixed capacity. There are several kinds of BPP such as one-dimensional (1D), Two-dimensional (2D), ...
End materials

Unknown author (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)
Enhancing Flutter App Development: Addressing Configuration and Compatibility Bugs Using Large Language Models

Rajaguru, R.M.S.N.; Chathumini, K.G.L.; Kumara, B.T.G.S.; Wijerathna, P.M.A.K (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

In today’s world, there are cross-platform frameworks available, like Flutter, that allow the developer to develop an app from a single codebase. However, debugging issues and compatibility with different devices and ...
A Hybrid Deep Learning Model for Improving Tea Leaf Disease Detection: Overcoming Challenges in Sri Lanka’s Tea Industry.

Rathnayaka, R.M.D.N; Chathumini, K.G.L.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

In the Sri Lankan tea industry, tea leaf diseases affect yield and quality. Therefore, this study proposes a hybrid deep learning model that combines MobileNet, VGG16, and ResNet50 to improve the accuracy, reliability, and ...
Improving the Performance of Machine Learning Classifiers for Imbalanced Multiclass Reputation Analysis

Nugekotuwa, C.K.; Ishanka, U.A. P. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Class imbalance in multiclass datasets remains a persistent challenge, often leading to biased models with reduced generalization, particularly affecting the minority class most. This research proposes a hybrid approach ...
Deep Learning Approach for Painting Authentication: Differentiating AI-Generated and Human-Drawn Paintings

Warnakulasooriya, A.I.; Rupasingha, R.A.H.M.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

The arrival of Generative Artificial Intelligence and Diffusion Models revolutionised the artwork creation process with the ability to generate hyper-realistic paintings based on a textual description. Consequently, it’s ...
Adaptive Feature-Weighted Ensemble Learning for Chronic Kidney Disease Classification

Sooriyage, H.D.; Ishanka, U.A.P.; Madushani, U.A.K. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

This research proposes a feature-weighted ensemble learning model to achieve optimal Chronic Kidney Disease (CKD) classification. The number of people affected with CKD continues to grow rapidly because this condition has ...
Comprehensive Study on User-Centric Approaches to Preventing Social Engineering Attacks

Pathirana, E.P.K.H.; Abeysinghe, D.V.D.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Social engineering attacks are a critical threat to organizational security because they exploit human psychological vulnerabilities. Most users are generally unprepared to detect and mitigate the impact of such attacks ...
Enhancing Cinnamon Plants Disease Detection Using Advanced Machine Learning Techniques

Senevirathne, M.B.L.M; Herath, G.A.C.A. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Cinnamon is a vital crop in Sri Lanka. However, some diseases can cause serious damage to the cinnamon plant. Existing methods for detecting diseases in cinnamon plantations are constrained by limited expertise and the ...
Enhancing Mobile Banking Apps in Sri Lanka: UI or UX Classification on Negative Reviews

Nirosana, K.; Prasanth, S.; Ishanka, U.A.P. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

The widespread adoption of mobile banking applications, initially accelerated by the COVID-19 pandemic, has permanently transformed financial transaction patterns. This study analyzed user reviews of popular mobile banking ...
Triage Categorization in Emergency Departments Using Ensemble Learning: Health Care

Thasitha, T. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Emergency department (ED) triage is a critical process that determines patient treatment priority based on medical urgency. While EDs worldwide struggle with overcrowding and resource constraints, these challenges are ...
Knowledge-Graph Base Document Chunking and Improve Retrieval's Relevancy of RAG Applications with Recursive Counter Pointing Agent

Perera, W.P.K.I.; Vigneshwaran, P.; Charles, J. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Retrieval Augmented Generation (RAG) has emerged as a transformative approach to address key limitations of Large Language Models (LLMs), particularly regarding hallucination, private data access, and contextual accuracy. ...
Personalized Education: Leveraging LLMs for Dynamic Content Generation and Creating Contextual Quizzes to Enhance Learning Outcomes

Wanigasekara, W.M.P.S.B.; Gunawardhana, H.M.K.T.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

The research study developed an adaptive learning system based on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technology to deliver customized educational content. The system differentiates from ...
Automated Fish Freshness Classification Using CNN: A Scalable Solution for Sri Lankan Coastal Regions

Peries, R.F.S.; Adeeba, S; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

Fish is a crucial component in sustaining human nutrition, serving as a major source of protein throughout history. Ensuring fish freshness is the key determinant of fish quality, consumer health and market value globally. ...

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