An adaptive deep learning framework for dynamic image classification in the internet of things environment
In the modern era of digitization, the analysis in the Internet of Things (IoT) environment demands a brisk amalgamation of domains such as high-dimension (images) data sensing technologies, robust internet connection (4 G or 5 G) and dynamic (adaptive) deep learning approaches. This is required for...
| Main Authors: | Jameel, S.M., Hashmani, M.A., Rehman, M., Budiman, A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29902 / |
| Published: |
MDPI AG
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092926897&doi=10.3390%2fs20205811&partnerID=40&md5=d971b46f898aa5e4d2e67eb11b3c6519 http://eprints.utp.edu.my/29902/ |
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