Results 21 to 30 of about 1,765,598 (347)
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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Effect of acute predator stress on learning and memory in a zebrafish model
National Journal of Physiology, Pharmacy and Pharmacology, 2023 Background: In zebrafish, the stress system is represented by the hypothalamo–pituitary–interrenal axis which is similar to human HPA axis. Several studies have reported that stress affects the learning and memory in humans and rodents.
Latha Ramalingam, Vijay Madhaiyan
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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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Semantic similarity dissociates shortfrom long-term recency effects: testing a neurocomputational model of list memory [PDF]
, 2006 The finding that recency effects can occur not only in immediate free recall (i.e., short-term recency) but also in the continuous-distractor task (i.e., long-term recency) has led many theorists to reject the distinction between short- and long-term ...
Eddy J. Davelaar +4 more
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The impact of Eysenck's extraversion-introversion personality dimension on prospective memory [PDF]
, 2001 Prospective memory (PM) is memory for future events. PM is a developing area of research (e.g., Brandimonte, Einstein & McDaniel, 1996) with recent work linking personality types and their utilisation of PM (Goschke & Kuhl, 1996; Searleman, 1996).
Heffernan, Tom, Ling, Jonathan
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Parallelizable Stack Long Short-Term Memory [PDF]
Proceedings of the Third Workshop on Structured Prediction for, 2019 Stack Long Short-Term Memory (StackLSTM) is useful for various applications such as parsing and string-to-tree neural machine translation, but it is also known to be notoriously difficult to parallelize for GPU training due to the fact that the computations are dependent on discrete operations.
Ding, Shuoyang, Koehn, Philipp
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Short-term Load Forecasting with Distributed Long Short-Term Memory
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2023 5 pages, 4 figures, 2023 ISGT ...
Dong, Yi +3 more
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Video Summarization with Long Short-Term Memory [PDF]
, 2016 We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in ...
Zhang, Ke +3 more
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