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Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Year of publication

2021

Authors

Elsisi, Mahmoud; Mahmoud, Karar; Lehtonen, Matti; Darwish, Mohamed M. F.

Organizations and authors

Aalto University

Mahmoud Karar Orcid -palvelun logo

Lehtonen Matti Orcid -palvelun logo

Darwish Mohamed Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Sensors

Publisher

MDPI AG

Volume

21

Issue

2

Article number

487

​Publication forum

67020

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Article processing fee (EUR)

1666

Year of payment for the open publication fee

2021

Other information

Fields of science

Computer and information sciences; Electronic, automation and communications engineering, electronics

Keywords

[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.3390/s21020487

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes