Results 61 to 70 of about 439,227 (216)
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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Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals
Computers, 2022 Humans can portray different expressions contrary to their emotional state of mind. Therefore, it is difficult to judge humans’ real emotional state simply by judging their physical appearance.
Shashi Kumar G. S. +3 more
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A common short-term memory retrieval rate may describe many cognitive procedures [PDF]
, 2014 We examine the relationship between response speed and the number of items in short-term memory in four different paradigms and find evidence for a similar high-speed processing rate of about 25 to 30 items per second (~35 to 40 ms/item). We propose that
Evie eVergauwe +5 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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Vietnamese Text Classification Algorithm using Long Short Term Memory and Word2Vec
Информатика и автоматизация, 2020 In the context of the ongoing forth industrial revolution and fast computer science development the amount of textual information becomes huge. So, prior to applying the seemingly appropriate methodologies and techniques to the above data processing ...
Huu Nguyen Phat, Nguyen Thi Minh Anh
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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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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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ARO-The Scientific Journal of Koya UniversityDetecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time.
Arsalan R. Mirza +1 more
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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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Explaining semantic short-term memory deficits:evidence for the critical role of semantic control [PDF]
, 2011 Patients with apparently selective short-term memory (STM) deficits for semantic information have played an important role in developing multi-store theories of STM and challenge the idea that verbal STM is supported by maintaining activation in the ...
Paul Hoffman +7 more
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