Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject long short-term memory (LSTM)
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 23-Jul-2022 | Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index | Jean, W-H; Sutikno, P; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 24-Nov-2025 | Spatial–Temporal Deep Learning for Electric-Vehicle Charging Demand: An Exploratory Study of Graph Convolutional and LSTM Networks Performance | Alaraj, M; Martins, C; Radi, M; Darwish, M; Majdalawieh, M |