E-Repository Kotelawala Defence University: Recent submissions
Now showing items 301-320 of 6715
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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 ...