A review of data mining with big data towards its applications in the electronics industry

S Lv, H Kim, B Zheng, H Jin - Applied Sciences, 2018 - mdpi.com
Featured Application This review not only benefits researchers to develop strong research
themes and identify gaps in the field but also helps practitioners for DM and Big Data …

Smart technology applications in healthcare before, during, and after the COVID-19 pandemic

TCT Chen - Sustainable Smart Healthcare: Lessons Learned from …, 2023 - Springer
This chapter compares smart healthcare applications before, during, and after the COVID-19
pandemic. A smart healthcare application can be judged as sustainable if it was already …

Enhancing the sustainability of smart healthcare applications with XAI

TCT Chen - Sustainable Smart Healthcare: Lessons Learned from …, 2023 - Springer
This chapter first mentions three ways to enhance the sustainability of smart healthcare
applications. Then, our experience from the COVID-19 pandemic tells us that the three goals …

Evaluating the sustainability of a smart healthcare application

TCT Chen - Sustainable Smart Healthcare: Lessons Learned from …, 2023 - Springer
This chapter first defines the sustainability of a smart healthcare application and then
proposes three methods for evaluating the sustainability of a smart healthcare application …

Comparing built-in power banks for a smart backpack design using an auto-weighting fuzzy-weighted-intersection FAHP approach

HC Wu, TCT Chen, CH Huang, YC Shih - Mathematics, 2020 - mdpi.com
Smart backpacks are a prevalent application of smart technologies, with functions such as
motion recording, navigation, and energy harvesting and provision. Selecting a suitable built …

Sustainable smart healthcare applications: lessons learned from the COVID-19 pandemic

TCT Chen - Sustainable Smart Healthcare: Lessons Learned from …, 2023 - Springer
One of the lessons we have learned from the COVID-19 pandemic is that user motivation
and acceptance of smart healthcare applications have varied. This explains why some smart …

Data-based scheduling framework and adaptive dispatching rule of complex manufacturing systems

L Li, S Zijin, N Jiacheng, Q Fei - The International Journal of Advanced …, 2013 - Springer
Based on the analysis of the differences and relations between traditional and data-based
scheduling methods for complex manufacturing systems, a data-based scheduling …

Smart healthcare

TCT Chen - Sustainable Smart Healthcare: Lessons Learned from …, 2023 - Springer
This chapter first defines smart healthcare and smart healthcare technologies. After
observing changes in the number of smart healthcare applications explored before, during …

Multilayer perceptron for simulation models reduction: Application to a sawmill workshop

P Thomas, A Thomas - Engineering Applications of Artificial Intelligence, 2011 - Elsevier
Simulation is often used to evaluate supply chain or workshop management. This simulation
task needs models, which are difficult to construct. The aim of this work is to reduce the …

Petri-net based scheduling strategy for semiconductor manufacturing processes

YH Lee, CT Chang, DSH Wong, SS Jang - … Engineering Research and …, 2011 - Elsevier
Semiconductor manufacturing is a highly automated and capital-intensive industrial process.
The operating cost of a wafer processing plant is in general closely related to the design and …