Results 11 to 20 of about 1,388,038 (289)
Inference of time irreversibility from incomplete information: Linear systems and its pitfalls
Physical Review Research, 2022 Data from experiments and theoretical arguments are the two pillars sustaining the job of modeling physical systems through inference. In order to solve the inference problem, the data should satisfy certain conditions that depend also upon the ...
D. Lucente +4 more
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Mathematics, 2021 The problem of synthesis of stochastic sensitivity for equilibrium modes in nonlinear randomly forced dynamical systems with incomplete information is considered.
Irina Bashkirtseva
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Attribute Reduction in Incomplete Information System based on Rough Set Theory Using Fuzzy Imperialist Competitive Algorithm [PDF]
Journal of Information Technology Management, 2017 In recent years, rough set theory has been considered as a strong solution to solve artificial intelligence problem such as data mining. But, the classic rough set theory is not effective in the case of attribute reduction in incomplete information ...
Mohammad Ghanei Ostad +2 more
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Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: A survey [PDF]
, 2012 This Article is provided by the Brunel Open Access Publishing Fund - Copyright @ 2012 Hindawi PublishingSome recent advances on the filtering and control problems for nonlinear stochastic complex systems with incomplete information are surveyed.
Liang, J, Liu, Y, Shen, B, Wang, Z
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Estimation for incomplete information stochastic systems from discrete observations
Advances in Difference Equations, 2019 This paper is concerned with the estimation problem for incomplete information stochastic systems from discrete observations. The suboptimal estimation of the state is obtained by constructing the extended Kalman filtering equation.
Chao Wei
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Unscented Trainable Kalman Filter Based on Deep Learning Method Considering Incomplete Information
IEEE Access, 2023 Rapid changes of states and occurrence of data missing in power systems cause accurate state estimation very hard. In this paper, an unscented trainable Kalman filter (UTKF) with a deep learning prediction model is proposed to provide accurate state ...
Yanjie Yu, Qiang Li, Houyi Zhang
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IEEE Access, 2017 Soft set is a mathematical tool for dealing with vague and imprecise data. It is used in many applications and decision-making after representing the uncertain data in the Boolean-valued information system (BIS). BISs become incomplete because of various
Muhammad Sadiq Khan +4 more
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MuReQua Chain: Multiscale Relativistic Quantum Blockchain
IEEE Access, 2021 In this paper, we introduce a new approach to fix the validation of a block and the assignment of a new block in a blockchain infrastructure by using a novel negotiation procedure.
Gerardo Iovane
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Complex & Intelligent Systems, 2022 For incomplete datasets with mixed numerical and symbolic features, feature selection based on neighborhood multi-granulation rough sets (NMRS) is developing rapidly.
Meng Yuan +3 more
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How to Complete Regulations in Multi-agent Systems [PDF]
, 2009 In this paper, we deal with regulations that may exist in multiagent systems in order to regulate agent behaviour. More precisely, we discuss two properties of regulations, consistency and ompleteness.
Cholvy, Laurence +2 more
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