Results 11 to 20 of about 1,742,315 (338)
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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Accurate electricity consumption prediction using enhanced long short‐term memory
IET Communications, 2022 In the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of ...
Ragupathi Chinnaraji, Prakash Ragupathy
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LSUnetMix: Fuse channel feature information with long–short term memory
IET Computer Vision, 2023 Medical image segmentation based on deep learning is becoming popular. To improve the segmentation accuracy of medical images such as cells and vessels, we propose the LSUnetMix model, which can effectively enhance the ability to extract channel ...
Chao Yuan, Yanbo Wang, Yunxuan Xiao
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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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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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, 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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Get the gist? The effects of processing depth on false recognition in short-term and long-term memory [PDF]
, 2014 Gist-based processing has been proposed to account for robust false memories in the converging-associates task. The deep-encoding processes known to enhance verbatim memory also strengthen gist memory and increase distortions of long-term memory (LTM ...
Flegal, Kristin E. +1 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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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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