Results 61 to 70 of about 11,885,428 (200)
Optimization based Long Short Term Memory Network for Protein Structure Prediction
U.Porto Journal of Engineering, 2022 One of the challenging tasks in computational biology is the anticipation of protein secondary structure (PSS) from amino acid sequences. Numerous computational and statistical methods are used for this purpose.
Pravinkumar Sonsare, Gunavathi C.
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Fast Weight Long Short-Term Memory
CoRR, 2018 Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs.
T. Anderson Keller +2 more
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Klasifikasi Ekspresi Teks Berbahasa Jawa Menggunakan Algoritma Long Short Term Memory
Komputika, 2021 Bahasa Jawa bisa dikatakan Bahasa yang unik karena bahasa Jawa mempunyai banyak arti meskipun satu kata yang sama tetapi beda daerah. Suku Jawa adalah suku terbesar yaitu 41% atau sekitar 95.217.022 jiwa.
Oddy Virgantara Putra +2 more
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Phonological short term-memory, working memory and foreign language performance in intensive language learning. [PDF]
, 2008 In our research we addressed the question what the relationship is between phonological short-term and working memory capacity and performance in an end-of-year reading, writing, listening, speaking and use of English test.
Sáfár, Anna, Kormos, Judit
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Preservation of long-term memory and synaptic plasticity despite short-term impairments in the Tc1 mouse model of Down syndrome [PDF]
, 2008 Down syndrome (DS) is a genetic disorder arising from the presence of a third copy of the human chromosome 21 (Hsa21). Recently, O’Doherty and colleagues in an earlier study generated a new genetic mouse model of DS (Tc1) that carries an almost complete ...
Morice, E. +6 more
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Representation of matrix patterns in long- and short-term visual memory
, 1987 Two experiments examined two-alternative recognition for matrix patterns either immediately after a brief display (short-term visual memory) or following visual interence (long-term visual memory).
Avons, Stephen E, Phillips, William
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Long short term memory deep neural network.
, 2023 Long short term memory deep neural network.
Shawal Mushtaq (14564128) +6 more
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IET Renewable Power GenerationWith the increasing penetration of grid‐scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization ...
Mehmet Balci +3 more
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Categorisation of power quality problems using long short‐term memory networks
IET Generation, Transmission & Distribution, 2021 Recognition of power quality (PQ) troubles is a critical task in the electrical power system. All previous works solve this problem using two‐step methodology: Feature extraction and classification steps with each step using its own techniques, and this ...
Abdelazeem A. Abdelsalam +2 more
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Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals
Computers, 2022 Humans can portray different expressions contrary to their emotional state of mind. Therefore, it is difficult to judge humans’ real emotional state simply by judging their physical appearance.
Shashi Kumar G. S. +3 more
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