In this paper we propose a Text-To-Text Transfer Transformer-based (T5) model to generate concise, human-like synopses of Merger and Acquisition (M&A) economic news. Leveraging recent advancements in artificial in...
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ARIMA model forecasting algorithm is a commonly used time series forecasting algorithm, this paper first obtains a stable sequence through differential operation, and then obtains a stable sequence from the AR model, ...
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The deployments of deep learning models must be highly optimized by experts or hardware suppliers before being used in practice, and it has always been a long-term goal for the compiler community to enable compilers t...
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According to the different requirements during the flight period of wing morphing aircraft, it deforms the wing to adjust the flight speed and body attitude, which causes the change and also the uncertainty of the mod...
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This paper studies a dynamical system that models the free recall dynamics of working *** model is an attractor neural network with n modules,named hypercolumns,and each module consists of m *** mild conditions on the...
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This paper studies a dynamical system that models the free recall dynamics of working *** model is an attractor neural network with n modules,named hypercolumns,and each module consists of m *** mild conditions on the connection weights between minicolumns,the authors investigate the long-term evolution behavior of the model,namely the existence and stability of equilibria and limit *** authors also give a critical value in which Hopf bifurcation ***,the authors give a sufficient condition under which this model has a globally asymptotically stable equilibrium consisting of synchronized minicolumn states in each hypercolumn,which implies that in this case recalling is *** simulations are provided to illustrate the proposed theoretical ***,a numerical example the authors give suggests that patterns can be stored in not only equilibria and limit cycles,but also strange attractors(or chaos).
作者：
Bu, NanNakano, KakeruKumamoto College
National Institute of Technology Dept. of Control and Information Systems Eng. Japan Kumamoto College
National Institute of Technology Dept. of Control and Information Systems Eng. Koshi Japan
Cybersickness caused by virtual reality (VR) experiences has long been considered as one of the side effects. This paper attempts to utilize the cybersickness to induce responses of autonomous nervous system (ANS) and...
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The optimization of equipment system combination is crucial for the pre-deployment decision-making of our military. In order to obtain advantageous equipment portfolio solutions, we establish a multi-layer network opt...
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This paper aims to achieve single-channel target speech extraction (TSE) in enclosures by solely utilizing distance information. This is the first work that utilizes only distance cues without using speaker physiologi...
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This paper proposes a winding reconfigured fault-tolerant control strategy for five-phase permanent magnet synchronous motors with an open circuit fault. First, a new decoupling matrix is derived from the referenced f...
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Features extracted by the neural network do not have scale invariance, which makes multi-scale image recognition and classification a difficult problem. Recent studies have proposed many new ways to solve this problem...
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