INTERNATIONAL RESEARCH CONFERENCE ARTICLES (KDU IRC): Recent submissions
Now showing items 161-180 of 4197
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Optimizing Accident Severity Prediction: A Comparative Study of LSTM, CatBoost, and CNN Models with Feature Selection
(2024-09)Road accidents have recently emerged as a significant threat, ranking as the ninth leading cause of fatalities globally. The high cost of traffic-related deaths and property damage is particularly burdensome in developing ... -
Role of Visual Elements (Color, Typography, and Layout) on User Trust in Online Payment Processes
(2024-09)In the rapidly changing world of digital transactions, trust is the key to seamless online payment experiences. This research dives into the intriguing world of user trust within online payment processes, exploring how ... -
Data Science Driven Solution to Predict Employee Attrition: A Systematic Review
(2024-09)Employee attrition refers to leaving employees from the organization due to various reasons. Understanding and predicting employee attrition is crucial for organizations seeking to enhance employee retention and reduce ... -
Optimizing Human-AI Collaboration in Graphic Design: Opportunities, Challenges, and Future Directions
(2024-09)This study investigates the integration of artificial intelligence (AI) in graphic design, emphasizing its transformative effects, opportunities, and challenges. AI tools are increasingly used for automating routine ... -
AQUAFINA: Streamlining Collaboration, Meet Management, and Performance Prediction in Swimming
(2024-09)Swimming, is a prominent sport in Sri Lanka with a significant number of school, university, and open- level swimmers participating in competitions. However, the management of these events faces critical challenges, ... -
Early Detection and Identification of Blister Blight Disease in Tea Plantations Using Deep Learning and Real-Time Environmental Data
(2024-09)Tea, one of the world's most widely consumed beverages, faces significant threats from Blister Blight disease, particularly in hot and humid regions. This disease, caused by the fungus Exobasidium vexans, leads to ... -
OptiLens AI: Empowering Patients with Advanced Cataract Diagnosis and Personalized Eye Care
(2024-09)Globally, cataracts are among the major causes of blindness. Previously, ophthalmologists used objective lens examination and visual acuity tests, to diagnose cataracts. In general, this method of manual diagnosis ... -
Attribute Selection and Verification for Effective Hockey Player Ranking in the Sri Lankan Context
(2024-09)Sri Lanka's hockey domain has been hindered by the lack of a standardized dataset and the absence of a well-defined set of attributes for player performance assessment, limiting the application of advanced AI technologies. ... -
Data-Driven optimization strategies for Resource Allocation in Small Businesses
(2024-09)Small businesses are critical drivers of economic growth and innovation globally. However, in Sri Lanka, these businesses face significant challenges related to resource management, including inefficient allocation ... -
Enhancing On-Device learning in IoT Systems through Meta-Learning Techniques: A Comprehensive review
(2024-09)The incorporation of meta-learning approaches to on-device learning for IoT systems has emerged as one of the effective ways of developing intelligent and never-stopping devices capable of learning and adapting on their ... -
A Review of Machine Learning Algorithms and Weather Forecasting Integration for Enhancing Flood Prediction in the Nilwala River Basin
(2024-09)In Sri Lanka, the Nilwala River Basin is very vulnerable to severe flooding that often places local lives, property, and livelihoods at risk. The current review evaluates the integration of complex machine learning models ... -
Piloting Data-Driven Real Estate Decisions in Colombo: A Prototype Dashboard for Informed Stakeholder Engagement
(2024-09)The real estate sector in Colombo is challenged by fragmented data repositories and a lack of integrated analytical tools, resulting in inefficiencies and suboptimal decision-making by stakeholders. To address ... -
A Comprehensive Review of Dynamic Pricing Strategies: Optimizing Market Competitiveness and Consumer Satisfaction for Sri Lankan Consumer Brands
(2024-09)Dynamic pricing has been widely successful in enhancing customer satisfaction and maximizing revenue across global markets. This paper aims to delve into creating dynamic pricing models specifically designed for Sri ... -
Using a Study Planner with Predictive Analytics: Exploring the Effects on Academic Performance and Time Management: A Systematic Review
(2024-09)This study examines the impact of a data driven study planner with predictive analytics on students' academic performance and time management to find out the effect of the innovation. The research aims to determine the ... -
Artificial Intelligence-Based Geospatial Framework to Simulate Landslide Susceptibility
(2024-09)In the context of natural disasters, landslides take more significance with the threat to life and property. The uncertainty of the occurrence of landslides, and the scarcity of accurate models for precise predictions ... -
Optimizing Sri Lanka Ayurvedic Healthcare Industry: A Technological Approach to Enhance Patient Care and Management with Special References to the Central Province in Sri Lanka
(2024-09)Ayurvedic medicine, which originated in ancient Indian traditions, has acquired international recognition as a holistic and natural healing approach that emphasizes the balance of mind, body, and spirit via tailored ... -
Adaptive Security Protocols for Wireless Mobile Ad Hoc Networks: Challenges and Innovations: A Review
(2024-09)Mobile Ad hoc Networks (MANETs) are considered an innovative wireless technology that allows mobile nodes to network with each other without bounds of fixed infrastructure or centralized administration. MANETS are used ... -
Intelligent Gaming Robot: Robotic Solution for the Traditional Sri Lankan Board Game ‘Nerenchi’
(2024-09)Nerenchi, a board game, deeply rooted in Sri Lankan culture, involves strategy and skill, making it a challenging and engaging pastime. Traditionally played with two players, the game is known for its intricate rules ... -
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. ... -
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 ...