TY  - INPR
ID  - SisLab4046
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4046/
A1  - Le, Nguyen Tuan Thanh
A1  - Pham, Manh Linh
Y1  - 2020/08/11/
N2  - Our industry is now upgrading to the next industrial revolution, or Industry 4.0, which have been generating massive data that we have never seen before. It requires us to employ new methods to take advantage of this fast and big data. Optimizing and fully automated production, by harnessing cutting-edge technologies, are the ultimate goals of Industry 4.0. Among various advanced and cutting-edge technologies, machine learning (ML) and big data analytics (BDA) have been incorporated and applied successfully to obtain insights from the data and help to adjust automatically industrial processes as needed.
PB  - CRC Press-Taylor & Francis Group, LLC
T3  - Big Data for Industry 4.0: Challenges and Applications
KW  - Big Data Analytics
KW  -  Industry 4.0
KW  -  Machine Learning
KW  -  Deep
Learning
SN  - 978-0-367-50112-9
ED  - Rajesh, G.
ED  - X. Mercilin, Raajini
ED  - Dang, Thi Thu Hien
TI  - Big Data Analytics and Machine Learning for Industry 4.0: An Overview
AV  - public
EP  - 15
T2  - Industry 4.0 Interoperability, Analytics, Security, and Case studies
ER  -