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There is currently much research on the development of computational methods for computing rooted phylogenetic networks, for an overview see Huson and Scornavacca (2011a); Huson et al. (2011).
The advent of faster computers and the development of computational methods and tools have opened new frontiers for the application of mathematics.
Central to the development of computational complexity theory is the notion of a decision problem.
The social challenge is being met by the development of computational models of interacting agents.
We address this problem from the perspective of the development of Computational Models of Emotions (CMEs).
Therefore, the development of computational tools for accurately predicting succinylated lysines is an urgent necessity.
A design experiment is used during the development of computational and robotic technologies.
In this review, we will cover the development of computational methods for small molecule mass spectrometry during the last decades.
This paper takes a first step toward the development of computational methods for the early detection of information campaigns.
The development of computational intelligence faces the following challenges: (1) Computational intelligence techniques lack a robust mathematical foundation.
"Computational mass spectrometry" deals with the development of computational methods for the automated analysis of MS data.
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