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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nge of JPEG compression degree. Finally, we improve the interval robustness of the secret image extraction through the design of the denoising module. Experimental results show that our method outperforms other state-of-the-art methods on PSNR and SSIM values of the recovered secret image and the st

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Rolf Hagedornon-autoregressive decoding algorithm based on an optimized pseudo triggers selection strategy, which efficiently extracts multiple event argument combinations in a joint parallel manner, significantly improving the efficiency of model extraction. Comparative experiments validate the outstanding perf

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M. Chaichian,J. F. Gomes,R. Gonzalez Felipeon optimization. Additionally, we integrate photometric loss and geometric loss into loss function as geometric consistency loss to achieve geometric constraints. Empirical experiments have showcased the superior performance of Depth-NeuS over existing technologies across various scenarios. Moreover

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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