False Positive RFID Detection Using Classification Models
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
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.
Abstract
With the increase in the amount of data captured during the manufacturing process, monitoring systems are becoming important factors in decision making for management.
Abstract
As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis.
Abstract
Current technology provides an efficient way of monitoring the personal health of individuals.
Abstract
To make manufacturers more competitive, there is a need to integrate advanced computing and cyber-physical systems to take advantage of the current technologies.