Browsing Computing by Issue Date
Now showing items 1-20 of 53
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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 ... -
Harmonizing Business Process Re-Engineering, Industry 4.0 and Artificial Intelligence: Towards Sophisticated and Dynamic Business Processes
(2024)In an era where technology has profoundly infiltrated the dynamics of the business sphere, this study caters to the research problem of determining the possibility of effective integration of Business Process Reengineering ... -
Advanced Strategies for Dietary Recommendations in Liver Disease: A Comprehensive Literature Review
(2024)The global prevalence of non-alcoholic fatty liver disease (NAFLD) driven by unhealthy dietary habits and genetic factors is closely associated with obesity, diabetes, and high cholesterol and can progress to life-threatening ... -
A Comprehensive Review of Automated ICD-10 Categorization Model: Methodologies, Challenges, and Future Directions
(2024)In healthcare systems worldwide, the manual assignment of ICD-10 (International Classification of Diseases, 10th Revision) codes presents significant challenges, including resource constraints, lengthy processing times, ... -
Prediction of Coronary Artery Disease Using Artificial Neural Network
(2024)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 conventional ... -
Optimizing Task Assignment for Teams of Robots Using Ant Colony Optimization
(2024)The rapid advancements in robotics and artificial intelligence have driven the growth of MultiRobot Systems (MRS) and Teams of Robots (TOR), where collaboration is critical in domains like manufacturing, search and rescue, ... -
Ethical Landscape of Artificial Intelligence: A Review
(2024)The rapid growth of artificial intelligence (AI) technologies raises critical ethical concerns, particularly regarding fairness, transparency, privacy, and accountability. This review synthesizes current research to identify ... -
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 minimal ... -
Enhancing Physical Rehabilitation through Gaming and Gaming NPCs: A Novel Approach
(2024)Rehabilitation is a well-established process that takes place under the supervision of doctors and involves serious time, effort, and money. This review focuses on the incorporation of video games and gaming NPCs as an ... -
Comparative Analysis of Food Recommendation Systems: Tailoring to Sri Lankan Cultural Events and Traditions
(2024)This study investigated the development of an event-based food recommendation system tailored to Sri Lankan culinary traditions, comparing it with existing systems. The goal of the project was to analyze a way to fill the ... -
A Comparative Analysis of Dog Emotion Prediction Using Full-Body and Facial Images with Transfer Learning
(2024)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 the ... -
Autoencoder Empowered EEG Data Classification: A Self-Supervised Learning Approach
(2024)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 data. ... -
Classification of Research Papers Based on Their Subject Field Using an Ensemble Machine Learning Approach
(2024)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 abundance ... -
Exploration of Technological Interventions for Borderline Personality Disorder
(2024)Borderline personality disorder (BPD) is a complex, challenging, and prevalent mental health condition causing significant distress to those who are suffering. Due to the subtle complexities and overlapping symptoms ... -
Cinnamon Care: Digitizing Disease Detection and Treatment Recommendations for Cinnamon Plants using Image Processing and Machine Learning
(2024)Cinnamon is one of the most essential spice crops with significant global economic importance, and Sri Lanka is renowned for producing the highest quality cinnamon, known as Ceylon Cinnamon. Contributing to over 90% of the ... -
Navigating future Careers: Design, Implementation, and Evaluation of an AIdriven Career Guidance System for IT Professionals in Sri Lanka
(2024)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 enhancing ... -
TanzaNote: First Step Towards Classification and Notation Generation for Sri Lankan Traditional Instruments, Gataberaya and Flute
(2024)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 are ... -
Comprehensive Review of Mobile Personal Assistant (Chatbot) for Depression Patients a Using Emotion Recognition Using Large Language Model
(2024)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, access to ... -
Tense Identification in English Sentences Using an Ensemble Machine Learning Approach
(2024)For efficient communication, comprehension, and writing in a variety of contexts including academic papers, legal documents, and media documents proper use of tense is essential. Notwithstanding its significance, tense ...