Results 11 to 20 of about 441,843 (315)
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
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BarekengCoal remains vital for global energy despite recent demand fluctuations due to the COVID-19 pandemic and geopolitical tensions. The International Energy Agency (IEA) projected a decline in global coal demand starting in early 2024, driven by increasing ...
Indra Rivaldi Siregar +4 more
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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
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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
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Arabic Language Sentiment Analysis using Bidirectional Long Short Term Memory [PDF]
IJCI International Journal of Computers and Information, 2023 The amount of data generated in the digital era is huge since the super growth of social networks. Sentiment analysis (SA) seeks to extract opinions from a text and determine the polarity (positive, negative, or neutral).
amira abdelatey +2 more
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Long Short-Term Memory Neural Equalizer [PDF]
IEEE Transactions on Signal and Power Integrity, 2022 In this work we propose a neuromorphic hardware based signal equalizer by based on the deep learning implementation. The proposed neural equalizer is plasticity trainable equalizer which is different from traditional model designed based DFE. A trainable Long Short-Term memory neural network based DFE architecture is proposed for signal recovering and ...
Wang, Zihao +5 more
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CoRR, 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.
Christian Bakke Vennerød +2 more
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Lipreading with long short-term memory [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 Accepted for publication at ICASSP ...
Michael Wand 0002 +2 more
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Quantum Long Short-Term Memory
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this work, we propose a hybrid quantum-classical model of LSTM, which we dub QLSTM.
Samuel Yen-Chi Chen +2 more
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Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition [PDF]
, 2021 Data-intelligent algorithms tailored for short-term energy forecasting can generate meaningful information on the future variability of solar energy developments.
Deo, Ravinesh C. +4 more
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