Predicting blood glucose using an LSTM Neural Network
Saved in:
| Main Authors: | Touria El Idrissi, Ali Idri, Ibtissam Abnane, Zohra Bakkoury |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Information Processing Society
2019-09-01
|
| Series: | Annals of computer science and information systems |
| Online Access: | https://annals-csis.org/Volume_18/drp/pdf/159.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved Analogy-based Effort Estimation with Incomplete Mixed Data
by: Ibtissam Abnane, et al.
Published: (2018-09-01) -
Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction
by: Fayrouz Allam
Published: (2024-04-01) -
Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network
by: Changxi Ma, et al.
Published: (2025-02-01) -
The Personalized Thermal Comfort Prediction Using an MH-LSTM Neural Network Method
by: Jaeyoun Cho, et al.
Published: (2024-01-01) -
Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network
by: Rihab Abdullah Jaber Al Hamadani, et al.
Published: (2025-04-01)