REVIEW
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doi:10.20944/preprints201908.0152.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
deep learning; machine learning model; convolutional neural networks (CNN); recurrent neural networks (RNN); denoising autoencoder (DAE); deep belief networks (DBNs); long short-term memory (LSTM); review; survey; state of the art
Online: 13 August 2019 (09:32:09 CEST)
ARTICLE
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doi:10.20944/preprints202208.0345.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
Deep learning; solar radiation forecasting; model prediction; solar energy; multi climates data; generalizability; sustainability; Long Short-Term Memory (LSTM); Gated Recurrent Unit (GRU); Convolutional Neural Network (CNN); Hybrid CNN-Bidirectional LSTM; LSTM Autoencoder
Online: 18 August 2022 (10:59:18 CEST)
REVIEW
|
doi:10.20944/preprints202105.0254.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
deep learning; deep neural networks; recurrent LSTM models; attention layers; latent variable extraction; domain adaptation; yield and growth prediction in greenhouses; energy optimization in retail refrigerator systems; verification and recognition of expiry date in retail food packaging.
Online: 11 May 2021 (15:46:14 CEST)