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Titlebook: Hot Hadronic Matter; Theory and Experimen Jean Letessier,Hans H. Gutbrod,Johann Rafelski Book 1995 Springer Science+Business Media New York

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Helmut Satzysis. The experimental findings indicate that the proposed method exhibits superior performance compared to conventional fault diagnosis techniques. MFFN can automatically find and pick out useful features that improve the accuracy of fault diagnosis. This is different from traditional methods that
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O. D. Chernavskaya,E. L. Feinbergs between question knowledge units and learn the relational semantics of question nodes through an auxiliary information-enhanced skip-gram algorithm. Evaluation results on two community datasets show that our proposed model significantly improves retrieval accuracy and efficiency compared to state-
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A. Peshier,B. Kämpfer,O. P. Pavlenko,G. SoffS, C-TAEA, DPPPS, c-DPEA, ICMA), the proposed algorithm demonstrated superior performance, achieving the best IGD and HV scores in 15 instances each. This indicates that the proposed algorithm can effectively address problems with large infeasible regions and relatively small feasible regions.
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Ludwik Turkoe propose an Unsupervised Region Proposal Generation method based on SAM (SAM-URPG) to generate original pseudo labels for unknown objects and use the zero-shot ability of the large visual model to generate pseudo labels for unknown objects. Experimental results show that our proposed method signifi
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Stefan Mashkevich,Gennady Zinovjeve system: the peak signal-to-noise ratio (PSNR) values are all above 48dB, and the structural similarity (SSIM) and normalized correlation coefficient (NC) are all close to 1. Compared with some existing algorithms, this scheme performs well in resisting common image processing attacks and has stron
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