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18 eredmény a kulcsszóra: 'long short term memory recurrent neural networks'

Long Short-term Memory Recurrent Neural Networks Models to Forecast the Resource Usage of MapReduce Applications

In this paper, we apply multivariate long-short term memory recurrent neural networks (LSTM- RNN) [6] to forecast resource usage parameters (CPU usage(%), memory usage(%),

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Work in Progress Level Prediction with Long Short-Term Memory Recurrent Neural Network

Whereas several researchers applied artificial intelligence to predict lead times or transition times to improve the planning reliability, only small efforts have been taken on

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2022
A Deep Learning Algorithms to Generate Activity Sequences Using Historical As-built Schedule Data

Long Short-Term Memory (LSTM) [10] is a recurrent neural network architecture which has been applied for sequence analysis such as language models and text prediction to learn

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Attenuation of spatial memory in 5xFAD mice by targeting cholinesterases,  oxidative stress and inflammatory signaling using

Taken together, the 2NCP improves spatial memory and learning, short- and long-term memory,markedly inhibits cholinesterases, reduced neuroinflammation, and mitigated oxidative

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2022
Neural Mechanisms Underlying Visual Short-Term Memory for Facial Attributes

Based on these pilot results, in the main experiments aimed at testing the ability to store facial emotional expressions and facial identity in visual short term memory, we

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2022
Neural Mechanisms Underlying Visual Short-Term Memory for Facial Attributes

I have shown that people posses a high-fidelity visual short- term memory for facial emotional expression and identity, since emotion discrimination is not impaired when the faces to

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Neural Mechanisms Underlying Visual Short-Term Memory for Facial Attributes

Based on these pilot results, in the main experiments aimed at testing the ability to store facial emotional expressions and facial identity in visual short term memory, we

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2022
Tutorials on Recurrent Neural Networks and Signature Verification

Marcus Liwicki: Applications of recurrent and BLSTM neural networks Slide

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2022
THE ROLE OF ELECTRIC VEHICLES IN THE FUTURE IN PUBLIC TRANSPORT OF SZEGED AND THE EXPERIENCES AT THE ELIPTIC PROJECT

Under the sustainability today, almost everyone understands the environmentally friendly use of energy-efficient solutions, which are alternatives to private transport

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2022
Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process

Inspired by the biological concept of ”long/short term memory” of human beings, we propose a novel dual Gaus- sian process (DGP) structure based model predictive con- troller

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2022
SHORT AND LONG TERM EFFECT OF NON

Short and Long-Term Effect of Non-Pharmacological Rate Control of Atrial Fibrillation Reflected by Endogenous Peptide Serum Level Changes Compared to the results obtained in the

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2023
Advanced Methods for Measurement and Control in Urban Road Traffic Networks

An efficient distributed MPC design has been elaborated for urban road traffic control. The proposed technique is a traffic-responsive signal control, appli- cable in urban traffic

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2023
LAW AND ECONOMICS

Capital market is imperfect: share price depends on short-term profit (not long-term prospects) => incentives for management are also short term.. Division of power within

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2022
Corrective Focus Detection in Italian Speech Using Neural Networks

This work develops an Artificial Cognitive System (ACS) based on Recurrent Neural Networks that analyzes suitable features of the audio channel in order to

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2022
Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors †

We can observe that the performance of the feedback Jaccard similarity based Fisher embedding in combination with the Gru4Rec network performs similar to the dynamically learned

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2022
The Maturity Premium

As short-term financed firms have higher target leverage levels, there are cash flow values y i,t for which short-term financed firms issue debt, while long-term financed firms

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2022
Dipper-like variability of the Gaia alerted young star V555 Ori

- We found both long-term (on a time-scale of months / years) and short-term quasi-periodic (with a period of ∼ 5 days) brightness variations. At optical wavelengths both the

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2022
Canadianhereditaryangioedemaguideline POSITIONARTICLEANDGUIDELINESOpenAccess

Keywords: Hereditary angioedema, Guideline, Recommendations, Acute attacks, Short-term prophylaxis, Long-term prophylaxis, Self-administration, Individualized therapy, Quality of

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2022

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