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Indeed, a number of studies have now clearly demonstrated that although host-specific adaptation may at times result in a fitness cost, adaptive trade-offs in individual hosts are not inevitable for arboviruses [ 14- 21].
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Thus, in terms of cost, Adaptive-FF-Ordered-Cache gives the best performance.
A low-cost adaptive implementation is proposed and compared to the conventional adaptive linear predictor showing an improved performance, as predicted by theory.
Digital architectures developed in the FPGA for optical wavefront correction are described by K. Kepa et al. The design of the low-cost adaptive optics control system architecture is explained and the results are presented and analyzed.
These strategies provide efficient and low-cost adaptive techniques for parameter control and they preserve the original design of the evolutionary algorithm, as they can be included without changing either the structure of the algorithm nor its operators design.
To reduce the garbage collection overhead and deliver better performance, we propose a new, low-cost, adaptive separation-aware flash translation layer (ASA-FTL) that combines sampling, data clustering and selective caching of recency information to accurately identify and separate hot/cold data while incurring minimal overhead.
Interestingly, the low-cost adaptive DRI for E coli has remained relatively flat, consistent with the overall unchanged trend in DRI for E coli.
For example, management schemes that aim to preserve genetic variation as the basis for future adaptation to an uncertain future should not come at a cost to adaptive evolution to the tangible present (Kinnison et al. 2007).
To avoid excessive computational cost, an adaptive approach for model order selection is presented.
To reduce the control cost, an adaptive control scheme is designed to realize the asymptotic synchronization.
Owing to their universal modeling capability and convex cost, kernel adaptive filters (KAFs) are attracting renewed attention.
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