Results 1 to 10 of about 3,183,655 (317)
Auditory short-term memory behaves like visual short-term memory. [PDF]
PLoS Biology, 2007 Are the information processing steps that support short-term sensory memory common to all the senses? Systematic, psychophysical comparison requires identical experimental paradigms and comparable stimuli, which can be challenging to obtain across ...
Kristina M Visscher +3 more
doaj +4 more sources
TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY [PDF]
Вісник Університету імені Альфреда Нобеля. Серія Педагогіка і психология, 2021 The article is devoted to the issues of functioning and training of short-term and long-term memory of future interpreters. The concept of translation competence is considered, and it is noted that in order for it to be at a rather high level, an ...
Antonina V. Prokopenko, Valeriia M. Rava
doaj +1 more source
Short term prediction of wind speed based on long-short term memory networks [PDF]
FME Transactions, 2021 Power utilities, developers, and investors are pushing towards larger penetrations of wind and solar energy-based power generation in their existing energy mix. This study, specifically, looks towards wind power deployment in Saudi Arabia. For profitable
Salman Umar T. +3 more
doaj +1 more source
Human Activity Prediction using Long Short Term Memory [PDF]
E3S Web of Conferences, 2020 Early symptoms of dementia is one of the causes decrease in quality of life. Human activity recognition (HAR) system is proposed to recognize the daily routines which has an important role in detecting early symptoms of dementia.
Septiadi Jaka, Warsito Budi, Wibowo Adi
doaj +1 more source
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network [PDF]
Physica A: Statistical Mechanics and its Applications, 2018 Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in scientific journals, technical blogs, and implementation guides.
A. Sherstinsky
semanticscholar +1 more source
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Kai Sheng Tai +2 more
semanticscholar +1 more source
IET Intelligent Transport Systems, 2023 To enhance the control effect of intelligent transportation system (ITS) of expressway, avoid blind travel causing traffic congestion, improve road capacity, and achieve the purpose of smooth and efficient operation of the network, 3σ criterion and 2σ ...
Xingli Jia +4 more
doaj +1 more source
Long Short-Term Memory-Networks for Machine Reading [PDF]
Conference on Empirical Methods in Natural Language Processing, 2016 In this paper we address the question of how to render sequence-level networks better at handling structured input. We propose a machine reading simulator which processes text incrementally from left to right and performs shallow reasoning with memory ...
Jianpeng Cheng, Li Dong, Mirella Lapata
semanticscholar +1 more source
The Relationship between Short- and Long-Term Memory Is Preserved across the Age Range
Brain Sciences, 2023 Both short- and long-term memories decline with healthy ageing. The aims of the current study were twofold: firstly, to build on previous studies and investigate the presence of a relationship between short- and long-term memories and, secondly, to ...
Giedrė Čepukaitytė +4 more
doaj +1 more source
A survey on long short-term memory networks for time series prediction
Procedia CIRP, 2021 Recurrent neural networks and exceedingly Long short-term memory (LSTM) have been investigated intensively in recent years due to their ability to model and predict nonlinear time-variant system dynamics.
Benjamin Lindemann +4 more
semanticscholar +1 more source