Results 41 to 50 of about 9,826,187 (198)
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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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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Linking working memory and long-term memory: A computational model of the learning of new words [PDF]
, 2007 The nonword repetition (NWR) test has been shown to be a good predictor of children’s vocabulary size. NWR performance has been explained using phonological working memory, which is seen as a critical component in the learning of new words.
Julian M. Pine +5 more
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Computer simulations of developmental change: The contributions of working memory capacity and long-term knowledge [PDF]
, 2008 Increasing working memory (WM) capacity is often cited as a major influence on children’s development and yet WM capacity is difficult to examine independently of long-term knowledge.
Pine, JM +5 more
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The capacity of human memory: Is there any limit to human memory?
Journal of Research on English and Language Learning, 2020 There exist some estimates of the capacity of human memory. Recent studies have proven the fact that Long Term Memory is subject to constant reconfigurations mostly at lower levels of neural clusters.
Ehsan Namaziandost, Meisam Ziafar
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Long-term value memory in primates [PDF]
Proceedings of the National Academy of Sciences, 2018 Every year around Christmas we receive a visitor from the Nordic countries. A hawk keeps returning to a particular branch of a single tree throughout the entire winter, knowing that he will obtain daily treats with little effort. With the advent of spring, he happily returns to his breeding grounds, only to reappear the following winter.
openaire +3 more sources
Stress and long-term memory retrieval: a systematic review
Trends in Psychiatry and Psychotherapy, 2020 Introduction The experience of stressful events can alter brain structures involved in memory encoding, storage and retrieval. Here we review experimental research assessing the impact of the stress-related hormone cortisol on long-term memory retrieval.
Cadu Klier, Luciano Grüdtner Buratto
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ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
InformationIn recent years, the rapid development of large language models (LLMs) has led to a growing consensus in the industry regarding the integration of long-term and short-term memory.
Zongyu Ming, Zimu Wu, Genlang Chen
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Generating image descriptions with multidirectional 2D long short‐term memory
IET Computer Vision, 2017 Connecting visual imagery with descriptive language is a challenge for computer vision and machine translation. To approach this problem, the authors propose a novel end‐to‐end model to generate descriptions for images.
Shuohao Li +4 more
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Economics of long-term care in Ohio
, 1992 Electronic data (1 file : 445123 bytes).; "Ohio Long-Term Care Research Project"--Cover.; Includes bibliographical references (p.
Mehdizadeh, Shahla A. +1 more
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