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The combination of these factors still remains a challenging problem.
The accurate prediction of sound radiation from plate-like structures remains a challenging problem.
In this context, modeling heterogeneously ordered multichain systems such as amorphous polymers, remains a challenging problem.
Nevertheless, automatic analysis of noisy heart beats still remains a challenging problem.
Due to variations of the objects, image segmentation remains a challenging problem.
The separation of percussive and harmonic sounds remains a challenging problem in music research.
However, viewpoint-invariant person re-identification still remains a challenging problem [12].
However, historical documents suffer from various kinds of degradations and their understanding remains a challenging problem.
However, finding optimal thresholds analytically remains a challenging problem for future work.
Repair of articular cartilage defects remains a challenging problem in orthopaedic surgery.
However, visualizing large-scale time-varying fields remains a challenging problem.
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