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

Currently, the manufacturing industry is experiencing a data-driven revolution. There are multiple processes in the manufacturing industry and will eventually generate a large amount of data. Collecting, analyzing and storing a large amount of data are one of key elements of the smart manufacturing industry.

Abstract

Since customer attention is increasing due to growing customer health awareness, it is important for the perishable food supply chain to monitor food quality and safety.

Abstract

A carsharing service can be seen as a transport alternative between private and public transport that enables a group of people to share vehicles based at certain stations. The advanced carsharing service, one-way carsharing, enables customers to return the car to another station.