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We demonstrate their advantage with a kinematic nonholonomic system called the trident snake robot and an under-actuated mechanical system called the inverted unicycle robot.
We assess the performance of the proposed methods in terms of speech quality and the amount of noise reduction and demonstrate their advantage with respect to the previous STSA estimators.
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They give an informative overview of design patterns of homogenizers, demonstrate their advantages and disadvantages.
Then, we study the existed works of the deep learning hashing, and demonstrate their advantages for mobile visual search.
These two configurations mimic proposed architectures of power systems for multiple gyrotron systems and demonstrate their advantages or disadvantages, which will be discussed in more detail.
We discuss the convergence and smoothness of the proposed non-uniform schemes and present some numerical results to demonstrate their advantages in geometric modeling.
In addition, these two architectures are compared to demonstrate their advantages over each other, in particular, for video and image processing applications.
However, while many experiments have been carried out on these engines to demonstrate their advantages, very few studies have focused on the corresponding air fuel ratio (AFR) control strategy.
We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features.
Among them, machine learning-based methods have demonstrated their advantage and showed better performance than the other two categories of methods when a large annotated corpus is available.
Previously, we covalently conjugated bioactive laminin peptides to polysaccharides, such as chitosan and alginate, and demonstrated their advantages as biomaterials.
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