Sentence examples for complicated training from inspiring English sources

These findings are important for serious competitive athletes who are designing serious, complicated training regimens.

The salient features of the proposed skin color detection system involve simple calibration processes, moderate hardware resource usage on chips, and efficient adaptability without complicated training algorithms.

However, it is impractical to transfer this method directly from the indoor environment to the outdoor environment, because there are many problems such as complicated training work and complex outdoor environment.

As gaps in beta strands would complicate training, this post-processing step makes beta-conserved template strands contiguous in the alignment exactly as in (Menke et al., 2010).

Considering the FMA scale is time-consuming and complicated, seven training exercises were designed to replace the upper limb related 33 items in FMA scale.

The results show that the proposed method can quantitatively identify the fault signature of a slight rub on the inner race of a locomotive bearing, effectively detect and locate the potential failure from a complicated epicyclic gear train and successfully reveal the fault development and performance degradation of a test bearing in the lifetime.

The more mundane reasons for the attacks only seem to further complicate the training mission: without trust, it is increasingly difficult for the forces to effectively train together.

Even as attacks by Afghan security forces on NATO troops have become an increasing source of tension in the war here, there has been a steady rise in episodes where Afghans kill other Afghans, further complicating the training mission.

This complicates the training of machine learning models, or identification procedures in general, because the feedback makes the effect of the noise, which is unknown, on the system output dependent on the input.

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Such a strong bias toward the inactive class complicates the training of models, although usage of ensemble methods that repeatedly sample the data, either over- or under-sampling, to converge on stable predictions could help overcome this imbalance.