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Experience with previous methodologies informs us about where some of the methodologic problems are likely to lie.
Previous methodologies using carbon black, metal nanoparticles and carbon nanotubes are either ineffective or expensive.
In this work, a design methodology is proposed that addresses the shortcomings of previous methodologies.
This technique increased the resolution of CNV detection by more than an order of magnitude over previous methodologies.
After reviewing the state of the art, a new formulation, which simplifies and improves previous methodologies, is developed.
The ICSI Haystack project aims to overcome the limitations found on previous methodologies to better illuminate the mobile ecosystem at scale.
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A simple multivariable predictor scheme is developed based on a previous methodology presented by the authors.
In this method the same WSGGM and MT, as in previous methodology, is incorporated.
Previous methodology is extended to the mapping of turbidity, T, and vertical attenuation of photosynthetically active radiation (PAR), KPAR.
This development represents an improvement in time and accuracy with respect to previous methodology, where all the relevant information must be acquired manually.
The new expansion methodology with obstacle avoidance was tested with the semantic type Experimental Model of Disease and found over 500 concepts missed by the previous methodology that are in need of this semantic type assignment.
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