Precision measurement for industry 4.0 standards towards solid waste classification through enhanced imaging sensors and deep learning model
Achievement of precision measurement is highly desired in a current industrial revolution where a significant increase in living standards increased municipal solid waste. The current industry 4.0 standards require accurate and efficient edge computing sensors towards solid waste classification. Thu...
Saved in:
Main Authors: | Qin, Leow Wei, Ahmad, Muneer, Ali, Ihsan, Mumtaz, Rafia, Zaidi, Syed Mohammad Hassan, Alshamrani, Sultan S., Raza, Muhammad Ahsan, Tahir, Muhammad |
---|---|
Format: | Article |
Published: |
Wiley-Hindawi
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/34021/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0
by: Faheem, Muhammad, et al.
Published: (2021) -
Deep optimal VGG16 based COVID-19 diagnosis model
by: Buvana, M., et al.
Published: (2022) -
Deep optimal VGG16 based COVID-19 diagnosis model
by: Buvana, M., et al.
Published: (2021) -
Optimal deep reinforcement learning for intrusion detection in UAVs
by: Praveena, V., et al.
Published: (2022) -
MyVitaQus: My vitamin quick search engine booster for IR 4.0
by: Rahmah, Mokhtar, et al.
Published: (2018)