Results 91 to 100 of about 1,741,359 (199)

xLSTM: Extended Long Short-Term Memory

Advances in Neural Information Processing Systems 37
Code available at https://github.com/NX-AI ...
Beck, Maximilian, Pöppel, Korbinian, Spanring, Markus, Auer, Andreas, Prudnikova, Oleksandra, Kopp, Michael, Klambauer, Günter, Brandstetter, Johannes, Hochreiter, Sepp   +8 more
openaire   +2 more sources

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory

Majlesi Journal of Electrical Engineering
Short-term electrical load forecasting plays a pivotal role in modern energy systems, addressing the need for accurate predictions of electricity demand within a time frame ranging from a few hours to a few days. Inaccurate predictions can lead not only
Somasundaram Vasudevan, Kandasamy Jothinathan   +1 more
doaj   +1 more source

ECG Forecasting System Based on Long Short-Term Memory

Bioengineering
Worldwide, cardiovascular diseases are some of the primary causes of death; yet the early detection and diagnosis of such diseases have the potential to save many lives.
Henriques Zacarias, João Alexandre Lôbo Marques, Virginie Felizardo, Mehran Pourvahab, Nuno M. Garcia   +4 more
doaj   +1 more source

Propagation of Memory Parameter from Durations to Counts [PDF]

We establish sufficient conditions on durations that are stationary with finite variance and memory parameter $d \in [0,1/2)$ to ensure that the corresponding counting process $N(t)$ satisfies $\textmd{Var} \, N(t) \sim C t^{2d+1}$ ($C>0$) as $t ...
Clifford Hurvich, Philippe Soulier, Rohit Deo, Yi Wang   +3 more
core  

Diversity of clustered protocadherin-α genes in neuronal identity and its role in short-term specific associative memory formation

Scientific Reports
Clustered protocadherins (cPcdh) are cell adhesion molecules with 58 isoforms, essential for neural circuit formation and higher cognitive functions. This study investigated the impact of reduced cPcdh-α diversity on cognitive function using mutant mice.
Tomoki Osuka, Hiroki Yamamoto, Takeshi Yagi   +2 more
doaj   +1 more source

Bidirectional long short-term memory variational autoencoder

, 2018
Abstract Variational Autoencoder (VAE) has achieved promising success since its emergence. In recent years, its various variants have been developed, especially those works which extend VAE to handle sequential data [1, 2, 5, 7]. However, these works either do not generate sequential latent variables, or encode latent variables only based on inputs ...
Zhao Guoying, Shi Henglin, Hong Xiaopeng, Liu Xin   +3 more
openaire   +1 more source

Short-Long-Term Memory Interaction with Underlearned Long-Term Storage

The Journal of General Psychology, 1971
P Everett, Fergenson, Warren H, Teichner
openaire   +3 more sources

Long Short-Term Memory-GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study. [PDF]

JMIR Form Res
Poreddy KKR, Sahu A, Mukherjee S, Basavaraju BK.   +3 more
europepmc   +1 more source

Recognizing the feature of knee hyperextension in stroke patients based on transformer-long-short-term memory model. [PDF]

Biomed Eng Online
Shen A, Chen X, Xia Q, Wang Y, Xu H.
europepmc   +1 more source

Short- and long-term memory [PDF]

Nature Reviews Immunology, 2011
openaire   +1 more source