Browsing by Subject "machine learning"
Now showing items 1-20 of 38
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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 ... -
Air Quality Prediction Using Machine Learning
(2021)The main basis of human survival is Air. The Air Quality Index is the value that qualitatively describes the condition of air quality. The greater the Air Quality Index, the more threatening risk to human health ... -
Artificial Intelligence in the Criminal Justice System: A Literature Review and a Survey
(2021)Companies, governments and security services around the world are now trying to use artificial intelligence to detect and prevent crime. Studies have shown that crime is predictable. The need is to just filter out ... -
Binary and Multi-Class Classification Using Supervised Machine Learning Algorithms and Ensemble Model
(2021)Classification is a vital aspect in data mining, where vast quantities of data are segregated into discrete classes. Models based on different statistical and machine learning approaches are used for this task. However, ... -
Building a Virtual Military Force for National Security, Stability and Development of Sri Lanka
(2021)The aim of this research paper is to explore the novel interpretations for building a Virtual Military Force for National Security, Stability and Development of Sri Lanka. The Virtual Arms Room, as a battle learning ... -
A Comprehensive Review of Automated ICD -10 Categorization Model: Methodologies, Challenges, and Future Directions
(2024-09)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, ... -
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 ... -
Development of intelligent outdoor camera sabotage detection system for large-scale camera systems using deep learning
(2023-09)The study presents a newly created camera-tampering detection system for outdoor cameras, aiming to overcome the boundaries of human monitoring. It is intended to be implemented in large scale camera systems to ... -
Housing Price Prediction Using Machine Learning
(2021)As housing price increases annually, offering unusual prices for houses that are not worth so much is a current problem faced by those who plan to buy a house. Moreover, most property investors also mislead by using fake ...