aPerformance of the Inferelator-based model in steady-state prediction.bPerformance of the Inferelator-based model in dynamic prediction.cPerformance of the best optimized model for that pretreatment.

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Optimization results.

Background In medical imaging, the integration of deep-learning-based semantic segmentation algorithms with preprocessing techniques can reduce the need for human annotation and advance disease classi

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Comparison of optimization results.

Aiming at the extreme loading conditions of an backhoe loader under dynamic and uncertain environments, this paper proposes a structural optimization method based on EDEM-ADAMS for a compact multi-fun

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