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With comparing to existing results reported in the publications, both proposed solutions are shown fast convergence, delightful accuracy and satisfactory dependability.
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Multitasking study reveals that our prototype promotes relatively fast response with low perceived workload comparing to existing eyes-free input.
By using approximate shortest paths, the proposed algorithm can effectively handle with the anisotropic network localization problem with fewer anchors compared to existing range-free algorithms.
BFAST can align giga-scale short read sets with comparable or better speed compared to existing methods, while maintaining higher sensitivity and accuracy for deletions/insertions.
The experimental result shows that the proposed algorithm gives an efficient multiplexer design with less delay compared to existing algorithms.
Experimental results indicate that our MLVC method has very low runtimes, with excellent accuracy compared to existing approaches.
The purpose of this paper is to present modelling and design of a new type of black liquor gasification process with significant benefits compared to existing Tomlinson boilers and wet gasification processes.
Our new method, H|H, provides a consistently more robust signal associated with cis-eQTLs compared to existing methods.
The simulation results show that the proposed scheme improves up to 63% with different node density, 60% with different duty cycles, and 72% with different transmission ranges, compared to existing schemes.
Along with the proposed compact feature set, the developed system enable discrimination of medium term speaker states with a lower complexity compared to existing systems.
This paper presents Chebyshev-like generalized Shapiro (CS) filters with improved spectral-like resolution compared to existing generalized Shapiro filters.
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