Browsing Computing by Issue Date
Now showing items 1-20 of 52
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Identification and Assessment of Key Performance Indicators in Sri Lankan Volleyball
(2024)Player performance analysis and game strategy classification have seen significant advancements in global volleyball. However, these developments have been largely absent in Sri Lanka's volleyball landscape, where ... -
Leveraging Natural Language Processing (NLP) to Enhance Patient Fedback Analysis and Improve Shared Antenatal Care at University Hospital KDU, Sri Lanka
(2024)In Sri Lanka, approximately 94% of expectant mothers rely on public-sector health facilities for antenatal care. However, the manual collection of information on pregnant mothers using pen and paper presents significant ... -
A Multi Factor Approach of Spot Price Forecasting via Deep Learning
(2024)The potential cost savings and the high scalability behind the spot instances benefit the cloud customers compared to On-demand instances fit for workloads that need uninterrupted compute power. However, the termination ... -
Prediction of Coronary Artery Disease Using Artificial Neural Network
(2024-09)Machine learning techniques offer powerful tools for early prediction and diagnosis of Coronary Artery Disease (CAD), a major cause of global mortality, by analyzing complex medical data to recognize patterns that ... -
Artificial Intelligence based Mobile Application for Interior Design in Sri Lanka
(2024-09)AI has revolutionized interior design, offering innovative tools for creating visually appealing and healthier spaces through applications. Even with this progress, many existing applications are not well-suited ... -
Deep Learning for Early Skin Cancer Detection: A Convolutional Neural Network Approach
(2024-09)Skin cancer diagnosis often involves a lengthy waiting period for biopsy results, leaving patients in uncertainty and at risk. A patient with a suspicious lesion may wait one to three weeks for biopsy results, impacting ... -
Optimizing Task Assignment for Teams of Robots Using Ant Colony Optimization
(2024-09)The rapid advancements in robotics and artificial intelligence have driven the growth of Multi- Robot Systems (MRS) and Teams of Robots (TOR), where collaboration is critical in domains like manufacturing, search ... -
Multi-Agent Solution for Autonomous Home Automation
(2024-09)Current advancements in home automation and power management are more powerful on hardware-based control systems, with a significant emphasis on Internet of Things technologies. These IoT systems typically interface ... -
Detecting AI-generated and Human-written Documents Using an Ensemble Learning Approach
(2024-09)Artificial Intelligence (AI) has revolutionized many parts of modern life including written content. Because of this reason, it is challenging to identify separate AI-generated documents and human-written documents. ... -
Ethical Landscape of Artificial Intelligence: A Review
(2024-09)The rapid growth of artificial intelligence (AI) technologies raises critical ethical concerns, particularly regarding fairness, transparency, privacy, and accountability. This review synthesizes current research ... -
AI Powered Couse Recommendation System for Private Education
(2024-09)In the context of private education, students face challenges in selecting suitable courses from an ever- expanding curriculum, often leading to confusion and suboptimal academic decisions. This study introduces an ... -
Real-Time Monitoring of Gas Station Underground Fuel Tanks Using IoT Technology
(2024-09)The management of underground fuel storage in gas stations presents significant challenges, including imprecise level measurements, the absence of real-time monitoring capabilities, and potential safety hazards. ... -
A Comparative Analysis of Dog Emotion Prediction Using Full-Body and Facial Images with Transfer Learning
(2024-09)Prediction and recognition of animal emotions has become an interesting and challenging problem. This study proposed a transfer learning approach using computer vision techniques to predict dog emotions and comparing ... -
Autoencoder Empowered EEG Data Classification: A Self-Supervised Learning Approach
(2024-09)Electroencephalogram (EEG) analysis plays a crucial role in understanding brain activity and diagnosing neurological conditions. Traditional methods often struggle with the complexity and high dimensionality of EEG ... -
Classification of Research Papers Based on Their Subject Field Using an Ensemble Machine Learning Approach
(2024-09)Research papers are the most important things for researchers and scholars. Scholars face the challenge of sifting through relevant research data to find papers that align with their educational interests. This ... -
Navigating future Careers: Design, Implementation, and Evaluation of an AI- driven Career Guidance System for IT Professionals in Sri Lanka
(2024-09)In Sri Lanka's burgeoning IT landscape, the Future Entrepreneurship Management and Career Guidance System (FEMCGS), called NavigateFuture, is strategically crafted to address a pivotal challenge streamlining and ... -
TanzaNote: First Step Towards Classification and Notation Generation for Sri Lankan Traditional Instruments, Gataberaya and Flute
(2024-09)Sri Lanka has a rich history of music, with a wide variety of traditional instruments. However, a significant challenge in Sri Lankan music is the lack of software capable of identifying which traditional instruments ... -
Shifting Paradigms in Stakeholder Identification: Integrating Enhanced Use Case Tool with Automated Analysis
(2024-09)In the domain of complex process automation, accurate stakeholder identification is critical. Nevertheless, the methods employed by requirement gathering professionals primarily focus on direct software users. This ... -
Comprehensive Review of Mobile Personal Assistant (Chatbot) for Depression Patients a Using Emotion Recognition Using Large Language Model
(2024-09)Depression is a common mental health issue that affects many people, often making them feel persistently sad or lose interest in activities. Despite its global impact, with 246 million people affected worldwide, ...