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Guang Yang, Jin Sun, Jianwei Zhang, Jingtai Niu, Bowen Luan, Zhendong Huang and Ahui Zhao
It is significant to adopt scientific temperature control criteria for high concrete dams in the construction period according to practical experience and theoretical calculation. This work synthetically uses information entropy and a cloud model and dev...
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Partha Sarathi Paul, Anurag Dhungel, Maisha Sadia, Md Razuan Hossain and Md Sakib Hasan
This paper presents a general method, called ?self-parameterization?, for designing one-dimensional (1-D) chaotic maps that provide wider chaotic regions compared to existing 1-D maps. A wide chaotic region is a desirable property, as it helps to provide...
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Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
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Martina Saletta and Claudio Ferretti
Deep neural networks have proven to be able to learn rich internal representations, including for features that can also be used for different purposes than those the networks are originally developed for. In this paper, we are interested in exploring su...
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Jiang Fan, Qinghao Yuan, Fulei Jing, Hongbin Xu, Hao Wang and Qingze Meng
The emerging Local Maximum-Entropy (LME) approximation, which combines the advantages of global and local approximations, has an unsolved issue wherein it cannot adaptively change the morphology of the basis function according to the local characteristic...
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