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Frontiers in Human Neuroscience, 2015 Performance on working memory (WM) tasks may partially be supported by long-term memory (LTM) processing. Hence, brain activation recently being implicated in WM may actually have been driven by (incidental) LTM formation. We examined which brain regions
Heiko eBergmann +6 more
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Intrinsically Sparse Long Short-Term Memory Networks
arXiv, 2019 Long Short-Term Memory (LSTM) has achieved state-of-the-art performances on a wide range of tasks. Its outstanding performance is guaranteed by the long-term memory ability which matches the sequential data perfectly and the gating structure controlling the information flow.
Liu, Shiwei +2 more
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IET Renewable Power GenerationWith the increasing penetration of grid‐scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization ...
Mehmet Balci +3 more
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Gold Prices Prediction using Univariate Long Short Term Memory Method
JITeCS (Journal of Information Technology and Computer Science)Gold is one of the precious metals that serves various purposes beyond being a jewelry material. When it comes to gold, it is often associated with the economy.
Gustian Aditama +2 more
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Software Effort Estimation Using Multilayer Perceptron and Long Short Term Memory [PDF]
Informatică economică, 2019 Software effort estimation is a hot topic for study in the last decades. The biggest challenge for project managers is to meet their goals within the given time limit.
Eduard-Florin PREDESCU +2 more
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BarekengCoal remains vital for global energy despite recent demand fluctuations due to the COVID-19 pandemic and geopolitical tensions. The International Energy Agency (IEA) projected a decline in global coal demand starting in early 2024, driven by increasing ...
Indra Rivaldi Siregar +4 more
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Long Short-Term Memory and Bidirectional Long Short-Term Memory Algorithms for Sentiment Analysis of Skintific Product Reviews [PDF]
ITM Web of ConferencesIn the era of ever-evolving digital technology, conducting customer sentiment analysis through product reviews has become crucial for businesses to improve their offerings and increase customer satisfaction. This research aims to analyze the sentiment of
Simanihuruk Laurensia, Suparwito Hari
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Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 As cryptocurrencies develop, it cannot be denied that crypto prices are volatile. One of the influencing factors is the increasing volume of transactions which attracts the interest of researchers to conduct research in developing coin price predictions ...
Risna Sari +3 more
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, 2016 Synaptic memory is considered to be the main element responsible for learning and cognition in humans. Although traditionally non-volatile long-term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications, recent
Roy, Kaushik, Sengupta, Abhronil
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