Multiscale Deep Network with Centerness-Aware Loss for Salient Object Detection by Liangliang Duan

“…In addition, different from binary cross entropy, the proposed centerness-aware loss can guide the proposed M2Net to uniformly highlight the entire salient regions with well-defined object boundaries. …”
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Multistability in a Fractional-Order Centrifugal Flywheel Governor System and Its Adaptive Control by Bo Yan, Shaobo He, Shaojie Wang

“…Dynamics including the multistability of the system with the variation of system parameters and the derivative order are investigated by Lyapunov exponents (LEs), bifurcation diagram, phase portrait, entropy measure, and basins of attraction, numerically. …”
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Rational exchange protocol model based on mixed strategy by Hong DING, Chang-gen PENG, Qing-qing KUANG

“…Exchange protocol was modeled by extensive mixed strategy game and the entropy function was introduced to discuss the fairness in the process of exchange. …”
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Research on Pneumothorax Classification Model of DenseNet Based on Multilayer Network Optimization by Hongliang Huang, Qike Wang, Lidong Wang

“…Then, the binary cross-entropy loss function and accuracy evaluation function iteratively evaluated the effectiveness of the deep learning model and conducted multiple experiments. …”
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Probing the Page transition via approximate quantum error correction by Haocheng Zhong

“…Abstract In recent years, there is a huge progress in understanding the black hole information problem, and the key is that the black hole entropy of radiation should be calculated by the island formula, which describes the Page curve to ensure the unitarity of black hole evaporation. …”
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Dynamic security-empowering architecture for space-ground integration information network by Lingcui ZHANG, Yaobing XU, Fenghua LI, Liang FANG, Yunchuan GUO, Zifu LI

“…., the dynamic variability of threats, and the dynamic changes of protection technology) of space-ground integration information network (SGIIN), the existing security technologies were no longer applicable.Firstly, a security-empowering architecture for SGIIN was designed and formalized, which integrated capability orchestration unit of security service, analysis unit of security situation and the response unit of security threat measure.Then, a double judgment method for the effectiveness of threat measure was proposed.Finally the method is theoretically proved to be credible by using belief mini-entropy.…”
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Research on rate-distortion cost estimation model for H.264 by Xin-zi ZHENG, Zhi-xin SUN

“…A new rate distortion cost estimation model was proposed.To provide more accurate estimation of the number of coding bits for encoding intra / inter macro blocks,firstly a new bit rate estimation model was proposed.The rate estimation was a linear combination of existing coding parameters,which were more accurately related to entropy coding and transform coefficients.Secondly a new rate distortion cost estimation model which had superior performance was given.Finally,a detailed analysis on the rate distortion cost estimation model from many aspects such as the effect and the performance was taken.Experimental results show that the encoding speed is greatly accelerated in ensuring little change both in PSNR and coding bits.…”
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About thermodynamics of Schwarzschild black holes in a three-dimensional quantum vacuum with generalized uncertainty relations by Fiscaletti Davide

“…The dependence of temperature and entropy of a Schwarzschild black hole with the variable quantum vacuum energy density is analyzed. …”
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HVS-based rate-control scheme for object-based embedded image coding by Dong-jie LI, Zhong-jie ZHU, Yu-er WANG

“…A new rate control algorithm for object-based embedded coding was proposed by incorporating the characteristics of human visual systems (HVS).Firstly,the importance and coding priority of each visual object were estimated.Then,bit-plane modeling and entropy coding were implemented for each object based on the coding priority and its corresponding bit stream was outputted.Finally,bit streams of visual objects were truncated and reassembled based on the rate-distortion optimization principle under the given bit rate.Experimental results reveal that the proposed algorithm can encode and transmit different important objects with different strategies.Compared with the PCRD algorithm,the proposed algorithm can improve the overall visual quality of the reconstructed image.…”
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Stochastic proof of the sharp symmetrized Talagrand inequality by Courtade, Thomas A., Fathi, Max, Mikulincer, Dan

“…A new proof of the sharp symmetrized form of Talagrand’s transport-entropy inequality is given. Compared to stochastic proofs of other Gaussian functional inequalities, the new idea here is a certain coupling induced by time-reversed martingale representations.…”
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Harmonic Mixture Fréchet Distribution: Properties and Applications to Lifetime Data by Selasi Kwaku Ocloo, Lewis Brew, Suleman Nasiru, Benjamin Odoi

“…Some useful expansions and statistical properties such as moments, incomplete moments, quantile functions, entropy, mean deviation, median deviation, mean residual life, moment-generating function, and stress-strength reliability are presented. …”
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Research of Fault Diagnosis of Planetary Gearbox based on EMD-SVD and PNN by Zhang An’an, Huang Jinying, Wei Jiejie, Pang Yu

“…Experiments are conducted on the planetary gearbox fault diagnosis test-bed and comparison is carried out with eigenvectors made of energy entropy,which fully validates the effectiveness of the proposed methodology.…”
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Dimension Spectrum for Sofic Systems by Jung-Chao Ban, Chih-Hung Chang, Ting-Ju Chen, Mei-Shao Lin

“…For finite-coordinate dependent positive matrix potential, we set up the entropy spectrum by constructing the quasi-Bernoulli measure and the cut-off method is applied to deal with the infinite-coordinate dependent case. …”
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Resource Allocation of Distributed Heterogeneous Network Based on CoMP Transmission by Jia Yu, Ye Wang, Shaohua Wu, Qinyu Zhang

“…The radio resource allocation for CoMP based HetNet was investigated, and a distributed resource schedule algorithm by means of cross-entropy method was proposed. Extensive simulations are conducted to verify the effectiveness of the proposed algorithm in terms of throughput, energy efficiency and user fairness.…”
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The Construction of an Aircraft Control Multilayer Network and Its Robustness Analysis by Guangjian Ren, Ming Zhang, Yushuai Guo

“…Simultaneously, according to the multilayer characteristics of ACMN and the relative entropy theory, a robustness analysis method is proposed. …”
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Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework by Yuhuang Zheng

“…The activity class was recognized based on the mean, variance, entropy of magnitude, and angle of triaxial accelerometer signal features. …”
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CEO Busyness and Earnings Management: Evidence from Non-financial Companies listed in Indonesian Stock Exchange by Fudhla Zakiya, Taufiq Arifin

“…The results are robust as propensity score matching and entropy balancing tests have been conducted.…”
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Multi-attribute aware scheduling for inter-datacenter bulk transfers by Yang-yang LI, Hong-bo WANG, Peng ZHANG, Jian-kang DONG, Shi-duan CHENG

“…A multi-attribute decision making method to schedule inter-datacenter bulk data was proposed.First,hierarchical analysis was used to analyze the dominant relationship among attributes.Based on the relative weights of attributes which were calculated via information entropy,the evaluation to each intermediate data center was provided.Then the multi-attribute aware scheduling problem was modeled on a time expanded graph and formulated as a minimal cost flow problem.Finally,the scheme with general store-and-forward mechanism and single attribute based approach under several different simulation settings was compared.The results demonstrate that our strategy can take multiple attributes into consideration,and can find the bulk transfer route with the best integrated evaluation.…”
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Instantaneous correlations of Shannon’s big data in nonlocal cosmos by Igor É. Bulyzhenkov

“…The information guidance for the nonlocal mass integral nullifies its volumetric rest energy by self-gravity. Shannon entropy for big data can describe both macro- and mega-entanglement of correlated densities. …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…Firstly， the variational mode decomposition method is used to decompose the vibration signals of the bearing， and the fuzzy approximate entropy and energy entropy of the modal component is used to form fault characteristics. …”
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