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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Precipitation prediction using recurrent neural networks and long short-term memory
speed, and solar radiation is beneficial for human life. The variable
observations data is available from time to time for more than thirty years, scattered each observation station makes the opportunity to map patterns into predictions. However,…
observations data is available from time to time for more than thirty years, scattered each observation station makes the opportunity to map patterns into predictions. However,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Unidirectional-bidirectional recurrent networks for cardiac disorders classification
The deep learning approach of supervised recurrent network classifiers model,
i.e., recurrent neural networks (RNNs), long short-term memory (LSTM), and
gated recurrent units (GRUs) are used in this study. The unidirectional and
bidirectional for…
i.e., recurrent neural networks (RNNs), long short-term memory (LSTM), and
gated recurrent units (GRUs) are used in this study. The unidirectional and
bidirectional for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Feature engineering and long short-term memory for energy use of appliances prediction
Electric energy consumption in a residential household is one of the key factors
that affect the overall national electricity demand. Household appliances are
one of the most electricity consumers in a residential household. Therefore, it
is…
that affect the overall national electricity demand. Household appliances are
one of the most electricity consumers in a residential household. Therefore, it
is…