Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns Huimin Han, Harold Neira-Molina, Asad Khan, Meie Fang, Haitham A. Mahmoud, Emad Mahrous Awwad, Bilal Ahmed & Yazeed Yasin Ghadi Journal of Cloud Computing ...
We proposed a novel HF screening framework based on gated recurrent unit (GRU) model in this study. The logistic regression-based hidden semi-Markov model was adopted to segment HS frames. Normalized frames were taken as the input of the proposed model which can automatically learn the deep fea...
While (i) and (ii) are the same across all models, we consider three temporal mixing blocks: global Multi-Query Attention (MQA), local (sliding-window) MQA and our proposed recurrent block. As part of the recurrent block we use the Real-Gated Linear Recurrent Unit (RG-LRU) – a novel...
This can be explained by GCNN's focus on extracting local context at the cost of lacking global attention weighting that result in favorable results for short range dependencies but may be less favorable for long sequences. It outperforms the competitors on datasets with low sparsity and low ...
(WESs) identified recurrentde novomutations inCACNA1Din patients with ASD [23]. The role of other VGCC-encoding genes, includingCACNA1IandCACNA1S, in SCZ/ASD remains unexplored, in spite of genetic evidence supporting the contribution of these loci to SCZ/ASD in WESs, GWASs, and genetic ...
However, its reasoning process and basis cannot be explained, and it may not function properly when data are insufficient. The advantages of recurrent neural networks [26,27,28,29,30,31,32] lie in their memory, parameter sharing, and Turing completeness, making them especially suitable for ...
(ETo) values were estimated using tree-based regression and deep learning-based gated recurrent unit (GRU) models. For this purpose, 15 input scenarios, consisting of meteorological variables including maximum and minimum temperature, wind speed, maximum and minimum relative humidity, dew point ...
Figure 2. The structure of gated recurrent unit (GRU). The symbol ⊗⊗: the element-wise multiplication, ⊕: vector summation, σ: sigmoid function, tanh: hyperbolic tangent function. Then, the candidate hidden state ℎ𝑡̂ht^ at time t can be obtained by performing element-wise ...
In this study, daily reference evapotranspiration (ETo) values were estimated using tree-based regression and deep learning-based gated recurrent unit (GRU) models. For this purpose, 15 input scenarios, consisting of meteorological variables including maximum and minimum temperature, wind speed, maximum...
Speech segment detection based on gated recurrent unit (GRU) recurrent neural networks for the Kurdish language was investigated in the present study. The novelties of the current research are the utilization of a GRU in Kurdish speech segment detection, creation of a unique database from the Kurd...