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The simulations of two control methods demonstrate the well-controlled performances of the boiler-turbine unit under large and fast load changes.
The comprehensive and quantitative comparisons with state-of-the-art methods demonstrate the informativeness, accuracy, robustness, and versatility of our novel approach.
Evaluations of the methods demonstrate the overall strong predictive value of logical, and logical with probabilistic, inference applied to the domain of SNP annotation.
The simulation results compared with other state-of-art methods demonstrate the effectiveness and robustness of the proposed RHPSO for both unconstrained and constrained problems of different dimensions.
Both these methods demonstrate the robust soil classification capability of the ST and the ASC, but with convex hull sizes and nearest-neighbour distances that are smaller, the ASC proves to be slightly more coherent.
Our experimental results, based on two 3D model datasets and performance comparisons with other methods, demonstrate the superiority of the SBA method over state-of-the-art methods in terms of 3D model retrieval and classification.
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Simulation comparison with other methods demonstrated the effectiveness of the proposed design method.
Cory Zigler, a biostatistician at the University of Texas, Austin, says that Cox has effectively declared his own statistical methods king, writing off a variety of studies and methods demonstrating the link between air pollution and public health.
Commercial heads, produced using irregular methods, demonstrated the strongest variation in scale.
In fact, for the database layout analyzed, application of our methods demonstrates the existence of such robust database structures.
Furthermore, the comparison of recognition results with other three feature extraction methods demonstrates the superiority of this method.
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