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The resulting estimated MRS can then be manipulated by adapting the target MRS in the experimental design.
Controllers are complex components incorporated in self-adaptive systems, which are crucial to their function since they are in charge of adapting the target system by executing actions through effectors, based on information monitored by probes.
In queue-based protocols, the controller objective is to drive the buffer queue length to a certain target queue length; in the proposed scheme, model references (MRs) are used to address the problem of adapting the target queue length to the statistical characteristics of the traffic.
Non-invasive tumour response evaluation during (chemo irradiation opens news possibilities for treatment tailoring, not only by adapting the target volume, but also by dose escalation to non-responding tumour subvolumes, or by adding concomitant treatment such as carbogen breathing, bioreductive drugs or radiosensitising drugs.
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Together, these experiments demonstrate the possibility of adapting the target-dependent activation concept to various types of nucleic acid enzymes.
In order to adapt the target schedule, information regarding this schedule can be modeled by additional soft constraints.
In that sense, the authors of the work propose a definable channel and one that is able to self-adapt the target architecture.
Bailey et al. [17] introduce a self-adaptive framework that monitors authorizations made by role- or attribute-based systems, analyzes user behavior and adapts the target systems accordingly.
Thus, to utilize source knowledge and adapt the target classifier utilizing the source model, a linear SVM is found whose offset discriminates the target samples correctly in the one-dimensional space.
The selected filters adapt the target birth intensity at each processing step with the use of the received measurements, thereby eliminating the need for prior specification of birth intensities [19].
Finally, to adapt the target appearance variations, especially to partial occlusion, we embed SFT to L1 tracker and construct a unified framework to track both smooth and abrupt motion in time.
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