Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications.

Ruhul Amin Khalil; Nasir Saeed; Mudassir Masood; Yasaman Moradi Fard; Mohamed-Slim Alouini; Tareq Y. Al-Naffouri

doi:10.1109/JIOT.2021.3051414

Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications.

Ruhul Amin Khalil, Nasir Saeed, Mudassir Masood, Yasaman Moradi Fard, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Article number	14
Pages (from-to)	11016-11040
Number of pages	25
Journal	IEEE Internet Things J.
Volume	8
Issue number	14
DOIs	https://doi.org/10.1109/JIOT.2021.3051414
State	Published - 2021

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10.1109/JIOT.2021.3051414

https://dblp.org/db/journals/iotj/iotj8.html#KhalilSMFAA21

Cite this

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title = "Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications.",

author = "Khalil, {Ruhul Amin} and Nasir Saeed and Mudassir Masood and Fard, {Yasaman Moradi} and Mohamed-Slim Alouini and Al-Naffouri, {Tareq Y.}",

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AU - Masood, Mudassir

AU - Fard, Yasaman Moradi

AU - Alouini, Mohamed-Slim

AU - Al-Naffouri, Tareq Y.

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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DO - 10.1109/JIOT.2021.3051414

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