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1by Ching-Chun Chang“... neuroscience-inspired low-level vision model based on long short-term memory with a brief discussion of its...”
Published 2021-01-01
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2“... an algorithm for accident diagnosis using long short-term memory (LSTM), which is a kind of RNN, which improves...”
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3“... in sequence data. RNN based on the long short-term memory (LSTM) is capable of memorizing the inputs over a...”
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4by Haixia Hou, Yingying Xu, Menghan Chen, Zhi Liu, Wei Guo, Mingcheng Gao, Yang Xin, Lizhen Cui“.... To enhance the overall security of the Internet, an IDS based on hierarchical long short-term memory (HLSTM...”
Published 2020-01-01
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5“... early symptoms of dementia. Long Short Term Memory (LSTM) is very useful for sequence analysis that can...”
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6“... prediction mechanism that uses a model of deep learning called Long Short-Term Memory (LSTM). We have carried...”
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7“... as input data of neural network and trains the network via the bidirectional long-short term memory model...”
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8“... for effective air quality management and public warning. In this study, we proposed using Long Short-Term Memory...”
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10by Yang, Tianshu“... model using long short-term memory(LSTM). The proposed implementation of LSTM match with the time-series...”
Published 2019
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11“... the sensor data, a long short-term memory recurrent neural network is employed to establish bed exit behavior...”
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13“...This paper presents an improved long short-term memory (LSTM) neural network based on particle...”
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14“... by demonstrating the behaviors to the robot several times. Following that, a long short-term memory recurrent...”
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15“... years. However, there is a lack of understanding on how the long short-term memory (LSTM) networks...”
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18“... in the sequence, which is useful for this task, can be well modeled by bidirectional variation and long short-term...”
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20“... and displacement. Therefore, a long short-term memory (LSTM) model is proposed to make full use of the historical...”
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