Forecasting failure rate of IoT devices: A deep learning way to predictive maintenance

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

25 Citations (Scopus)

Original language	English
Article number	108829
Journal	Computers and Electrical Engineering
Volume	Volume 110
DOIs	https://doi.org/10.1016/j.compeleceng.2023.108829
Publication status	Published - 2023
Externally published	Yes
Publication type	A1 Journal article-refereed

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title = "Forecasting failure rate of IoT devices: A deep learning way to predictive maintenance",

author = "Malik Sami and Khan, \{Tamim Ahmed\}",

year = "2023",

doi = "10.1016/j.compeleceng.2023.108829",

language = "English",

volume = "Volume 110 ",

journal = "Computers and Electrical Engineering",

issn = "0045-7906",

publisher = "Elsevier",

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T1 - Forecasting failure rate of IoT devices: A deep learning way to predictive maintenance

AU - Sami, Malik

AU - Khan, Tamim Ahmed

PY - 2023

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DO - 10.1016/j.compeleceng.2023.108829

M3 - Article

SN - 0045-7906

VL - Volume 110

JO - Computers and Electrical Engineering

JF - Computers and Electrical Engineering

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