IEEE Access, 2022 In multivariate time series modeling, it is necessary to capture short-term mutation and long-term dependence information simultaneously. However, mechanism which can capture short-term change is difficult to be used to grasp long-term dependence ...
Shufang Feng, Yong Feng
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A Physics-Informed Dual-Branch LSTM Network for UAV Position and Attitude Estimation [PDF]
SensorsTo mitigate error accumulation and long-term drift in unmanned aerial vehicle (UAV) position and attitude estimation using purely inertial measurement unit (IMU) data, this paper presents a dual-branch physics-informed long short-term memory (DPI-LSTM ...
Weizheng Liang +3 more
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Comparative efficacy of dual- vs. single-node tACS in amnestic mild cognitive impairment: behavioral and EEG evidence [PDF]
Translational PsychiatryThe efficacy of current transcranial stimulation in cognitive disorders is limited by single-node intervention. Recent evidence indicates that amnestic mild cognitive impairment (aMCI) is associated with dysconnectivity in the frontoparietal network (FPN)
Li Wang +9 more
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Dual transcranial electromagnetic stimulation of the precuneus boosts human long-term memory
eLifeNon-invasive brain stimulation techniques have the potential to improve memory functions. However, the results so far have been relatively modest and time-consuming.
Ilaria Borghi +9 more
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Octopamine signaling from clock neurons plays dual roles in Drosophila long-term memory.
PLoS GeneticsCircadian clock genes are best known for regulating circadian rhythms, but they also play crucial roles in memory processes. This suggests that memory is modulated by neural networks containing clock neurons, although the underlying mechanisms remain ...
Yuto Kurata +2 more
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Growth enterprise market in Hong Kong: Efficiency evolution and long memory in return and volatility [PDF]
Journal of Asian Business and Economic Studies, 2020 Purpose – Growth enterprise market (GEM) in Hong Kong is acknowledged as one of the world’s most successful examples of small and medium enterprise (SME) stock market.
Trang Nguyen +3 more
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A Hybrid Ridge Regression-Convolutional Bidirectional Long Short-Term Memory Framework with Dual-Level Transfer Learning for State-of-Health Estimation of Lithium-Ion Batteries Under High Temperatures. [PDF]
Materials (Basel)Ge C +6 more
europepmc +2 more sources
Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction
Sensors, 2021 Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural ...
Teng Li, Yepeng Guan
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Immunity, Inflammation and Disease, 2022 Background Cellular immune memory responses post coronavirus disease 2019 (COVID‐19) have been difficult to assess due to the risks of contaminating the immune response readout with memory responses stemming from previous exposure to endemic ...
Ida Laurén +30 more
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Core-Shell Dual-Gate Nanowire Memory as a Synaptic Device for Neuromorphic Application
IEEE Journal of the Electron Devices Society, 2021 In this work, a synaptic device for neuromorphic system is proposed and designed to emulate the biological behaviors in the novel device structure of core-shell dual-gate (CSDG) nanowire flash memory.
Md. Hasan Raza Ansari +3 more
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