Results 21 to 30 of about 11,885,428 (200)
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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Short-term Load Forecasting with Distributed Long Short-Term Memory
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2023 5 pages, 4 figures, 2023 ISGT ...
Yi Dong 0002 +3 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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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
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Prediksi Harga Cryptocurrency Menggunakan Algoritma Long Short Term Memory (LSTM)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Technological developments continue to encourage the creation of various innovations in almost all aspects of human life. One of the innovations that is becoming a worldwide phenomenon today is the presence of cryptocurrency as a digital currency that ...
Moch Farryz Rizkilloh, Sri Widiyanesti
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Continual Learning Long Short Term Memory [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 Catastrophic forgetting in neural networks indicates the performance decreasing of deep learning models on previous tasks while learning new tasks. To address this problem, we propose a novel Continual Learning Long Short Term Memory (CL-LSTM) cell in Recurrent Neural Network (RNN) in this paper.
Xin Guo 0007 +6 more
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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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Accurate electricity consumption prediction using enhanced long short‐term memory
IET Communications, 2022 In the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of ...
Ragupathi Chinnaraji, Prakash Ragupathy
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Forecasting Nonadiabatic Dynamics using Hybrid Convolutional Neural Network/Long Short-Term Memory Network [PDF]
, 2021 Modeling nonadiabatic dynamics in complex molecular or condensed-phase systems has been challenging especially for the long-time dynamics. In this work, we propose a time series machine learning scheme based on the hybrid convolutional neural network ...
Jiebo, Li +3 more
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LSUnetMix: Fuse channel feature information with long–short term memory
IET Computer Vision, 2023 Medical image segmentation based on deep learning is becoming popular. To improve the segmentation accuracy of medical images such as cells and vessels, we propose the LSUnetMix model, which can effectively enhance the ability to extract channel ...
Chao Yuan, Yanbo Wang, Yunxuan Xiao
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