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1 Ergebnisse
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Comparative Analysis of Hybrid Deep Learning Frameworks for..:
, In:
The 5th International Conference on Future Networks & Distributed Systems
,
Jogunola, Olamide
;
Ajagun, Abimbola Susan
;
Adebisi, Bamidele
.. - p. 214-219 , 2021
Link:
https://dl.acm.org/doi/10.1145/3508072.3508105
RT T1 <cTitle>The 5th International Conference on Future Networks & Distributed Systems</cTitle>: T1 <Title>Comparative Analysis of Hybrid Deep Learning Frameworks for Energy Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3508105&Exemplar=1&LAN=DE A1 Jogunola, Olamide A1 Ajagun, Abimbola Susan A1 Adebisi, Bamidele A1 Aibinu, Abiodun Musa A1 Ojo, John Adedapo PB ACM YR 2021 K1 Bidirectional-long short-term memory K1 Hybrid deep learning K1 autoencoder. K1 convolutional neural network K1 energy consumption prediction K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 214 OP 219 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3508072.3508105 DO https://dl.acm.org/doi/10.1145/3508072.3508105 SF ELIB - SuUB Bremen
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