Effective field theory of stochastic diffusion from gravity
Journal of High Energy Physics, 2021 Planar black holes in AdS have long-lived quasinormal modes which capture the physics of charge and momentum diffusion in the dual field theory. How should we characterize the effective dynamics of a probe system coupled to the conserved currents of the ...
Jewel K. Ghosh +5 more
doaj +1 more source
IET Control Theory & Applications, 2023 Concerning the problems that the traditional Convolutional Neural Network (CNN) ignores contextual semantic information, and the traditional Recurrent Neural Network (RNN) has information memory loss and vanishing gradient, this paper proposes a Bi ...
Na Chen, Yanqiu Sun, Yan Yan
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Financial Uncertainty from a Dual Shock at Global Level–Insights from Kuwait
International Journal of Financial Studies, 2022 Global stock markets experienced a dual shock in 2020 due to the impact of the global health crisis, parallel to a simultaneous shock derived from the Saudi Arabia and Russia oil price war. The dual shock fueled oil market volatility with lasting effects
Talal A. N. M. S. Alotaibi +1 more
doaj +1 more source
A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long‐Term Short‐Term Memory
International Journal of Intelligent Systems, 2023 In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air quality monitoring network provides multisource pollutant concentration monitoring data for ozone prediction, but ozone prediction ...
Hao Tang 0004 +7 more
openaire +1 more source
Human behavior recognition algorithm based on deep learning
Dianzi Jishu Yingyong, 2018 In order to improve the problem of low accuracy in human behavior recognition task, a neural network based on batch normalization convolution neural network(CNN) and long short-term memory(LSTM) neural network is proposed.
Huang Youwen, Wan Chaolun
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MUlti-Store Tracker (MUSTer): a Cognitive Psychology Inspired Approach to Object Tracking [PDF]
, 2015 International audienceVariations in the appearance of a tracked object, such as changes in geometry/photometry, camera viewpoint, illumination , or partial occlusion, pose a major challenge to object tracking.
Chen, Zhe +5 more
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Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization [PDF]
, 2018 Artificial autonomous agents and robots interacting in complex environments are required to continually acquire and fine-tune knowledge over sustained periods of time. The ability to learn from continuous streams of information is referred to as lifelong
Parisi, German I. +3 more
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Heterogeneous Proxytypes Extended: Integrating Theory-like Representations and Mechanisms with Prototypes and Exemplars [PDF]
, 2018 The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how
Lieto, Antonio
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Working Memory in Writing: Empirical Evidence From the Dual-Task Technique [PDF]
, 2003 The dual-task paradigm recently played a major role in understanding the role of working memory in writing. By reviewing recent findings in this field of research, this article highlights how the use of the dual-task technique allowed studying ...
Olive, Thierry
core +4 more sources
Estimation and Prediction of Commodity Returns Using Long Memory Volatility Models
RisksModelling the volatility of commodity prices and creating more reliable models for estimating and forecasting commodity price returns are crucial.
Kisswell Basira +4 more
doaj +1 more source