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The use of automatic design to engineer biological networks is starting to emerge as a new technique to perform synthetic biology, which should not be neglected in the future.
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Here, we have tested the validity of automatic design methods to create and/or improve β-sheet peptides and proteins.
Moreover, new special standard cells (Wire Scrambling cells) are proposed corresponding with an automatic design flow to insert the WS-cells inside the netlist with the aim of maximum effectiveness of obfuscation and minimum overhead.
In this paper, an approach to the automatic design of effective neural network ensembles is proposed.
In this paper, an approach to the automatic design of multiple classifier systems is proposed.
We highlight the essential elements to develop automatic design procedures for synthetic biology pointing out their advantages and bottlenecks.
The method is less computationally intensive than existing iterative design procedures, hence it can be applied to the automatic design of neural networks for complex processes.
The Embodied Evolution (EE) paradigm arose in the early 2000s as a response to the automatic design of distributed control systems in real time for teams of autonomous robots.
We applied our automatic design methodology [ 17] to perform the genome refactoring in a way that we could later provide a corresponding nucleotide sequence.
The concept of a p-automatic monoid is a variant on the usual concept of an automatic monoid designed to allow a geometric characterization analogous to the group case.
The train rolled over an automatic derailer designed to prevent rail cars from accidentally rolling back from the spur onto the main line.
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