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Quantum Long Short-Term Memory [PDF]
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.
Chen, Samuel Yen-Chi +2 more
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Long and Short Term Memory in Head Injured Patients
Cortex, 1975 A group of severely head injured patients were compared with 15 controls on auditory vocal digit span, and on a free recall memory task, enabling short term memory (STM) and long term memory (LTM) to be examined. The free recall curves differed for the two groups suggesting that the head injured patients had an essentially normal STM, but a poor LTM ...
D. N. Brooks
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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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Long Short-Term Memory and Bidirectional Long Short-Term Memory Algorithms for Sentiment Analysis of Skintific Product Reviews [PDF]
ITM Web of ConferencesIn the era of ever-evolving digital technology, conducting customer sentiment analysis through product reviews has become crucial for businesses to improve their offerings and increase customer satisfaction. This research aims to analyze the sentiment of
Simanihuruk Laurensia, Suparwito Hari
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TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY [PDF]
Vìsnik Unìversitetu ìmenì Alʹfreda Nobelâ: Serìâ Pedagogìka ì Psihologiâ, 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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On separating long- and short-term memories in hyperdimensional computing [PDF]
Frontiers in Neuroscience, 2023 Operations on high-dimensional, fixed-width vectors can be used to distribute information from several vectors over a single vector of the same width. For example, a set of key-value pairs can be encoded into a single vector with multiplication and addition of the corresponding key and value vectors: the keys are bound to their values with component ...
Jeffrey L. Teeters +4 more
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Long Short-Term Memory Neural Equalizer [PDF]
IEEE Transactions on Signal and Power Integrity, 2022 A trainable neural equalizer based on the long short-term memory (LSTM) neural network architecture is proposed in this article to recover the channel output signal. The current widely used solution for the transmission line signal recovery is generally realized through a decision feedback equalizer (DFE) or : Feed forward equalizer (FFE) combination ...
Wang, Zihao +4 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 ...
Jürgen Schmidhuber +2 more
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Prediksi Pendapatan Kargo Menggunakan Arsitektur Long Short Term Memory
Jurnal Komputer Terapan, 2020 Angkutan kargo udara Indonesia saat ini mengalami perkembangan yang cukup signifikan. Salah satu layanan kargo yang terdapat di Indonesia yaitu Garuda Indonesia Cargo dan memiliki beberapa kantor cabang.
Bagas Aji Aprian +2 more
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