AIMC Topic: Memory, Long-Term

Clear Filters Showing 1 to 10 of 23 articles

Enhanced separation of long-term memory from short-term memory on top of LSTM: Neural network-based stock index forecasting.

PloS one Jun 2, 2025
LSTM (Long Short-Term Memory Network) is currently extensively utilized for forecasting financial time series, primarily due to its distinct advantages in separating the long-term from the short-term memory information within a sequence. However, the...
Humans Memory, Long-Term Memory, Short-Term Investments Neural Networks, Computer Forecasting
View on PubMed DOI

Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers.

Journal of Alzheimer's disease : JAD May 4, 2025
BackgroundDancing may be protective for cognitive health among adults with mild cognitive impairment, Alzheimer's disease or dementia; however, additional methods are needed to characterize motor behavior quality in studies of dance.ObjectiveTo deter...
Male Humans Middle Aged Female Dancing Reproducibility of Results Aged Memory, Long-Term Adult Memory, Short-Term Accelerometry
View on PubMed DOI

Analysis and fully memristor-based reservoir computing for temporal data classification.

Neural networks : the official journal of the International Neural Network Society Nov 15, 2024
Reservoir computing (RC) offers a neuromorphic framework that is particularly effective for processing spatiotemporal signals. Known for its temporal processing prowess, RC significantly lowers training costs compared to conventional recurrent neural...
Memory, Long-Term Neural Networks, Computer Algorithms Humans Time Factors Memory, Short-Term
View on PubMed DOI

Lifelong Learning With Cycle Memory Networks.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Learning from a sequence of tasks for a lifetime is essential for an agent toward artificial general intelligence. Despite the explosion of this research field in recent years, most work focuses on the well-known catastrophic forgetting issue. In con...
Neural Networks, Computer Artificial Intelligence Humans Memory, Long-Term Learning Memory
View on PubMed DOI

Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model.

International journal of neural systems Jul 13, 2024
Seizure is a common neurological disorder that usually manifests itself in recurring seizure, and these seizures can have a serious impact on a person's life and health. Therefore, early detection and diagnosis of seizure is crucial. In order to impr...
Memory, Long-Term Memory, Short-Term Wavelet Analysis Sensitivity and Specificity Humans Electroencephalography Models, Neurological Neural Networks, Computer Seizures
View on PubMed DOI

Promoting Personalized Reminiscence Among Cognitively Intact Older Adults Through an AI-Driven Interactive Multimodal Photo Album: Development and Usability Study.

JMIR aging Jan 23, 2024
BACKGROUND: Reminiscence, a therapy that uses stimulating materials such as old photos and videos to stimulate long-term memory, can improve the emotional well-being and life satisfaction of older adults, including those who are cognitively intact. H...
Aged Aged, 80 and over Middle Aged Mobile Applications Artificial Intelligence Machine Learning Humans Memory Memory, Long-Term
View on PubMed DOI

Network Security Situation Prediction Based on Optimized Clock-Cycle Recurrent Neural Network for Sensor-Enabled Networks.

Sensors (Basel, Switzerland) Jul 1, 2023
We propose an optimized Clockwork Recurrent Neural Network (CW-RNN) based approach to address temporal dynamics and nonlinearity in network security situations, improving prediction accuracy and real-time performance. By leveraging the clock-cycle RN...
Memory, Long-Term Algorithms Learning Neural Networks, Computer
View on PubMed DOI

Tf-GCZSL: Task-free generalized continual zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2022
Learning continually from a stream of training data or tasks with an ability to learn the unseen classes using a zero-shot learning framework is gaining attention in the literature. It is referred to as continual zero-shot learning (CZSL). Existing C...
Machine Learning Learning Memory, Long-Term
View on PubMed DOI

Research on Disease Prediction Method Based on R-Lookahead-LSTM.

Computational intelligence and neuroscience Apr 13, 2022
Cardiovascular disease is one of the most serious diseases that threaten human health in the world today. Therefore, establishing a high-quality disease prediction model is of great significance for the prevention and treatment of cardiovascular dise...
Memory, Short-Term Algorithms Humans Memory, Long-Term Neural Networks, Computer Cardiovascular Diseases
View on PubMed DOI

SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Deep neural networks are vulnerable to adversarial attacks. More importantly, some adversarial examples crafted against an ensemble of source models transfer to other target models and, thus, pose a security threat to black-box applications (when att...
Learning Memory, Long-Term Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals