Results 11 to 20 of about 1,741,359 (199)
Short-term memory and long-term memory are still different. [PDF]
Psychological Bulletin, 2017 A commonly expressed view is that short-term memory (STM) is nothing more than activated long-term memory. If true, this would overturn a central tenet of cognitive psychology-the idea that there are functionally and neurobiologically distinct short- and long-term stores.
Norris, Dennis
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Heliyon, 2023 Sentiment analysis is the process of recognizing positive or negative attitudes in text. This technique makes use of computational linguistics, text analysis, and natural language processing.
David Opeoluwa Oyewola +4 more
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Quantum Long Short-Term Memory
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this work, we propose a hybrid quantum-classical model of LSTM, which we dub QLSTM.
Chen, Samuel Yen-Chi +2 more
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THE PSYCHOLINGUISTIC BASIS OF THE LINGUISTIC CONCEPTUALIZATION
Revista de Investigaciones Universidad del Quindío, 2022 The object of this article is the methodology of psycholinguistics concerning analyzing concepts. The article's relevance is due to the need to apply new approaches to linguistic phenomena analysis, for which a purely linguistic methodology is not
Zhao Yuanze +3 more
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Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques
Journal of Intelligent Systems, 2020 Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in gearbox system.
Mallikarjuna P B +3 more
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Performance optimization for Intrusion Detection by Long Short Term Memory (LSTM) [PDF]
E3S Web of Conferences, 2023 Concerns about cyber threats have emerged as the expansion of system connectivity and the proliferation of system applications intensified in the industry.
Khatkar Monika +8 more
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NMDA receptor plasticity in the perirhinal and prefrontal cortices is crucial for the acquisition of long-term object-in-place associative memory [PDF]
, 2008 A key process for recognition memory is the formation of associations between an object and the place in which it was encountered, a process that has been shown to require the perirhinal (PRH) and medial prefrontal (mPFC) cortices.
Barker, Gareth, Warburton, E Clea
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, 2021 This paper is based on a machine learning project at the Norwegian University of Science and Technology, fall 2020. The project was initiated with a literature review on the latest developments within time-series forecasting methods in the scientific community over the past five years.
Vennerød, Christian Bakke +2 more
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Musicians have better memory than nonmusicians: A meta-analysis [PDF]
, 2017 Background Several studies have found that musicians perform better than nonmusicians in memory tasks, but this is not always the case, and the strength of this apparent advantage is unknown.
Altoe', Gianmarco +3 more
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IET Generation, Transmission & Distribution, 2021 Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang +4 more
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