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1 Ergebnisse
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A Hybrid Deep Learning-Based (HYDRA) Framework for Multifau..:
Muhammad Sajid Riaz
;
Haneya Naeem Qureshi
;
Usama Masood
...
https://ieeexplore.ieee.org/document/9804486/. , 2022
Link:
https://doi.org/10.1109/ACCESS.2022.3185639
RT Journal T1
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f2c39581ab6e4e32ab9633faba726615&Exemplar=1&LAN=DE A1 Muhammad Sajid Riaz A1 Haneya Naeem Qureshi A1 Usama Masood A1 Ali Rizwan A1 Adnan Abu-Dayya A1 Ali Imran PB IEEE YR 2022 K1 Root cause analysis K1 cellular data sparsity K1 data enrichment K1 multi-fault diagnosis K1 minimization of drive tests K1 hybrid deep learning K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9804486/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2022.3185639 DO https://doi.org/10.1109/ACCESS.2022.3185639 SF ELIB - SuUB Bremen
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