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However, the complexity of most behaviours makes the identification of such behavioural components a challenging problem.
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Improving product quality during machining of thin-wall components has always been a challenging problem due to the low rigidity of work parts.
In particular, the case of complex multiple-component vibration signal is a challenging problem.
Despite the fact that a stand-alone ideal heat-integrated distillation column (ideal HIDiC) can be thermodynamically efficient and operationally stable, the application of an ideal HIDiC system to separate a close-boiling multi-component mixture is still a challenging problem because of the possibility of strong interactions within/between the ideal HIDiCs involved.
Automated extraction of pure components from co-eluting components in GC-MS data is a challenging problem.
Recovering the low-rank, sparse components of a given matrix is a challenging problem that arises in many real applications.
The problem of predicting sets of components of heteromeric protein complexes is a challenging problem in Systems Biology.
Taken into account the non-linear multi-component time frequency behaviour of such signals, their analysis is a challenging problem.
However, elimination of damping components makes oscillation damping control of an IMT powertrain system a challenging problem.
Segmentation is a fundamental component of many medical image-processing applications, and it has long been recognized as a challenging problem.
These pet peeves aside, elections forecasting is a challenging problem.
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