Corrigendum to: Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space

Sabah Suhail; Rasheed Hussain; Abid Khan; Choong Seon Hong

doi:10.1016/j.compind.2020.103392

Corrigendum to: Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space

Sabah Suhail, Rasheed Hussain, Abid Khan, Choong Seon Hong^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate (Academic Journal) › peer-review

Abstract

Acknowledgments This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author.

Original language	English
Article number	103392
Journal	Computers in Industry
Volume	128
DOIs	https://doi.org/10.1016/j.compind.2020.103392
Publication status	Published - 1 Jun 2021

Bibliographical note

Funding Information:
This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author.

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© 2020 Elsevier B.V.

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title = "Corrigendum to: Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space",

abstract = "Acknowledgments This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author.",

author = "Sabah Suhail and Rasheed Hussain and Abid Khan and Hong, {Choong Seon}",

note = "Funding Information: This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author. Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

year = "2021",

month = jun,

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doi = "10.1016/j.compind.2020.103392",

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AU - Suhail, Sabah

AU - Hussain, Rasheed

AU - Khan, Abid

AU - Hong, Choong Seon

N1 - Funding Information: This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author. Publisher Copyright: © 2020 Elsevier B.V.

PY - 2021/6/1

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N2 - Acknowledgments This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author.

AB - Acknowledgments This research was partially supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and This work was supported by the IITP grant funded by the MSIT (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing). Dr. CS Hong is the corresponding author.

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JO - Computers in Industry

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Corrigendum to: Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space

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