Blood Glucose Prediction Model for Type 1 Diabetes based on Extreme Gradient Boosting
Abstract
Predicting future blood glucose (BG) level for diabetic patients will help them to avoid critical conditions in the future.
Abstract
Predicting future blood glucose (BG) level for diabetic patients will help them to avoid critical conditions in the future.
Abstract
Understanding customer shopping behavior in retail store is important to improve the customers' relationship with the retailer, which can help to lift the revenue of the business.
Abstract
Radio Frequency Identification (RFID) technology has significantly improved in the past few years and is presently sought for implementation in the identification and traceability of perishable food in the food sector to safeguard food safety and quality.
Abstract
Early diseases prediction plays an important role for improving healthcare quality and can help individuals avoid dangerous health situations before it is too late.
Abstract
Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in real-time.
Abstract
Purpose
The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS).
Abstract
Maintaining product quality is essential for smart factories, hence detecting abnormal events in assembly line is important for timely decision-making.