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Published in 2017 at "Febs Letters"
DOI: 10.1002/1873-3468.12633
Abstract: Amyloid‐β (Aβ) peptides are implicated in the causation of memory loss, neuronal impairment, and neurodegeneration in Alzheimer's disease. Our recent work revealed that Aβ 1–42 and Aβ 25–35 inhibit long‐term memory (LTM) recall in Lymnaea…
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Keywords:
term memory;
long term;
lymnaea stagnalis;
memory ... See more keywords
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Published in 2017 at "Hippocampus"
DOI: 10.1002/hipo.22682
Abstract: The medial temporal lobe (MTL) plays a critical role in episodic long‐term memory, but whether the MTL is necessary for visual short‐term memory is controversial. Some studies have indicated that MTL damage disrupts visual short‐term…
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Keywords:
term memory;
resolution;
color;
short term ... See more keywords
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Published in 2022 at "Hippocampus"
DOI: 10.1002/hipo.23484
Abstract: The hippocampus, a medial temporal lobe brain region, is critical for the consolidation of information from short‐term memory into long‐term episodic memory and for spatial memory that enables navigation. Hippocampal damage in humans has been…
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Keywords:
long term;
ca1;
term memory;
hippocampus ... See more keywords
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Published in 2024 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.34214
Abstract: To address the constraints associated with conventional fitting techniques for temperature demodulation in the context of subway tunnel fires, a new method of demodulation grating sensing spectrum using long short‐term memory convolutional neural network (LSTM‐CNN)…
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Keywords:
temperature;
grating sensing;
term memory;
long short ... See more keywords
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Published in 2025 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-025-02996-0
Abstract: High-resolution precipitation data is crucial for modern hydrological and building hygrothermal performance simulation models. In Australia, historical observations are inadequate, as half-hourly recordings only replaced daily observations at many stations from the early 2000s. Moreover,…
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Keywords:
term memory;
long short;
precipitation;
model ... See more keywords
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Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10195-1
Abstract: In this study, we focus on human activity recognition, particularly aiming to distinguish the activity of praying (salat) from other daily activities. To achieve this goal, we have created a new dataset named HAR-P (Human…
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Keywords:
term memory;
long short;
sensor;
short term ... See more keywords
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Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09838-1
Abstract: Long short-term memory (LSTM) has transformed both machine learning and neurocomputing fields. According to several online sources, this model has improved Google’s speech recognition, greatly improved machine translations on Google Translate, and the answers of…
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Keywords:
term memory;
short term;
review;
long short ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1206-2
Abstract: Automating the process of lyric generation should face the challenge of being meaningful and semantically related to a scenario. Traditional keyword or template based lyric generation systems always ignore the patterns and styles of lyricists,…
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Keywords:
term memory;
long short;
generation;
lyric generation ... See more keywords
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1
Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02249-x
Abstract: This paper aims to find a superior strategy for the daily trading on a portfolio of stocks for which traditional trading strategies perform poorly due to the low frequency of new information. The experimental work…
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Keywords:
term memory;
trading;
short term;
long short ... See more keywords
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Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1447-6
Abstract: In this paper, a global asymptotic stability condition for Long Short-Term Memory neural networks is presented. Since this condition is formulated in terms of the networks’ weight matrices and biases that are essentially control variables,…
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Keywords:
term memory;
memory neural;
long short;
asymptotic stability ... See more keywords
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Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1393-7
Abstract: Activities of daily living (ADL) can be used to identify a person’s daily routine which helps health professionals to provide preventive healthcare. Classification of ADLs is therefore very important. In this study, long short-term memory…
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Keywords:
term memory;
long short;
short term;
classification ... See more keywords