An optimized deep convolutional neural network architecture for concept drifted image classification
Machine Learning (ML) is a branch of Artificial Intelligence, which is continuously evolving to overcome current technological challenges faced by industries. These technological changes are due to modernization in industries for Business Intelligence (BI) i.e., 4th Industrial Revolution. Among the...
Saved in:
| Main Authors: | Jameel, S.M., Hashmani, M.A., Alhussain, H., Rehman, M., Budiman, A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.24779 / |
| Published: |
Springer Verlag
2020
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072824401&doi=10.1007%2f978-3-030-29516-5_70&partnerID=40&md5=c2c3a575d10961076ac565cc5365b8e4 http://eprints.utp.edu.my/24779/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An adaptive deep learning framework for dynamic image classification in the internet of things environment
by: Jameel, S.M., et al.
Published: (2020) -
An adaptive deep learning framework for dynamic image classification in the internet of things environment
by: Jameel, S.M., et al.
Published: (2020) -
A fully adaptive image classification approach for industrial revolution 4.0
by: Jameel, S.M., et al.
Published: (2019) -
A fully adaptive image classification approach for industrial revolution 4.0
by: Jameel, S.M., et al.
Published: (2019) -
Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review
by: Hashmani, M.A., et al.
Published: (2020)