Predicting amyloid proteins using attention-based long short-term memory
Alzheimer’s disease (AD) is one of the genetically inherited neurodegenerative disorders that mostly occur when people get old. It can be recognized by severe memory impairment in the late stage, affecting cognitive function and general daily living. Reliable evidence confirms that the enhanced symp...
Saved in:
Main Author: | Zhuowen Li |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2025-02-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2660.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
by: Mumtaz Ali, et al.
Published: (2025-03-01) -
Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism
by: Geunseok Yang, et al.
Published: (2025-01-01) -
Indonesian Government Revenue Prediction Using Long Short-Term Memory
by: Mahmud, et al.
Published: (2024-06-01) -
Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory
by: Sama Hayder Abdulhussein AlHakeem, et al.
Published: (2023-03-01) -
Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development
by: Anchal Dahiya, et al.
Published: (2025-01-01)