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Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Energies (Basel), 2017-08, Vol.10 (8), p.1168

2017

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Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks

PloS one, 2016-01, Vol.11 (1), p.e0146917-e0146917

2016

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Circuit mechanisms for the maintenance and manipulation of information in working memory

Nature neuroscience, 2019-07, Vol.22 (7), p.1159-1167

2019

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Working memory capacity

Cowan, Nelson

2005

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From short-term store to multicomponent working memory: The role of the modal model

Memory & cognition, 2019-05, Vol.47 (4), p.575-588

2019

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A novel decomposition-ensemble prediction model for ultra-short-term wind speed

Energy conversion and management, 2021-11, Vol.248, p.114775, Article 114775

2021

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Photovoltaic power forecasting based LSTM-Convolutional Network

Energy (Oxford), 2019-12, Vol.189, p.116225, Article 116225

2019

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Long-lasting, dissociable improvements in working memory and long-term memory in older adults with repetitive neuromodulation

Nature neuroscience, 2022-09, Vol.25 (9), p.1237-1246

2022

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Phonological Skills and Their Role in Learning to Read: A Meta-Analytic Review

Psychological bulletin, 2012-03, Vol.138 (2), p.322-352

2012

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Short-Term Memory Based on Activated Long-Term Memory: A Review in Response to Norris (2017)

Psychological bulletin, 2019-08, Vol.145 (8), p.822-847

2019

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Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

Energy (Oxford), 2021-01, Vol.214, p.118980, Article 118980

2021

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The many faces of working memory and short-term storage

Psychonomic bulletin & review, 2017-08, Vol.24 (4), p.1158-1170

Cowan, Nelson

2017

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Short-Term Memory and Long-Term Memory are Still Different

Psychological bulletin, 2017-09, Vol.143 (9), p.992-1009

2017

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Reactivation of latent working memories with transcranial magnetic stimulation

Science (American Association for the Advancement of Science), 2016-12, Vol.354 (6316), p.1136-1139

2016

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Working memory revived in older adults by synchronizing rhythmic brain circuits

Nature neuroscience, 2019-05, Vol.22 (5), p.820-827

2019

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Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

Transportation research. Part C, Emerging technologies, 2017-12, Vol.85, p.591-608

2017

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A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

International journal of geographical information science : IJGIS, 2020-05, Vol.34 (5), p.969-995

2020

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An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system

International transactions on electrical energy systems, 2021-01, Vol.31 (1), p.n/a

2021

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Gesture Helps, Only If You Need It: Inhibiting Gesture Reduces Tip‐of‐the‐Tongue Resolution for Those With Weak Short‐Term Memory

Cognitive science, 2021-01, Vol.45 (1), p.e12914-n/a

2021

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Synaptic Correlates of Working Memory Capacity

Neuron (Cambridge, Mass.), 2017-01, Vol.93 (2), p.323-330

2017

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Memory for Serial Order Across Domains: An Overview of the Literature and Directions for Future Research

Psychological bulletin, 2014-03, Vol.140 (2), p.339-373

2014

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Shared mechanisms underlie the control of working memory and attention

Nature (London), 2021-04, Vol.592 (7855), p.601-605

2021

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Data-assisted reduced-order modeling of extreme events in complex dynamical systems

PloS one, 2018-05, Vol.13 (5), p.e0197704-e0197704

2018

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Interplay between persistent activity and activity-silent dynamics in the prefrontal cortex underlies serial biases in working memory

Nature neuroscience, 2020-08, Vol.23 (8), p.1016-1024

2020

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Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

Energy conversion and management, 2020-02, Vol.205, p.112345, Article 112345

2020

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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks

Circuit mechanisms for the maintenance and manipulation of information in working memory

Working memory capacity

From short-term store to multicomponent working memory: The role of the modal model

A novel decomposition-ensemble prediction model for ultra-short-term wind speed

Photovoltaic power forecasting based LSTM-Convolutional Network

Long-lasting, dissociable improvements in working memory and long-term memory in older adults with repetitive neuromodulation

Phonological Skills and Their Role in Learning to Read: A Meta-Analytic Review

Short-Term Memory Based on Activated Long-Term Memory: A Review in Response to Norris (2017)

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

The many faces of working memory and short-term storage

Short-Term Memory and Long-Term Memory are Still Different

Reactivation of latent working memories with transcranial magnetic stimulation

Working memory revived in older adults by synchronizing rhythmic brain circuits

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system

Gesture Helps, Only If You Need It: Inhibiting Gesture Reduces Tip‐of‐the‐Tongue Resolution for Those With Weak Short‐Term Memory

Synaptic Correlates of Working Memory Capacity

Memory for Serial Order Across Domains: An Overview of the Literature and Directions for Future Research

Shared mechanisms underlie the control of working memory and attention

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

Interplay between persistent activity and activity-silent dynamics in the prefrontal cortex underlies serial biases in working memory

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

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