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While not the most rigorous approach, this retrieval method can be applied quickly both in simulations and measurements, and with minimal resources.
In what follows, we formulate the network-guided SNP selection problem as a minimum cut problem on a graph derived from the SNP network in Section 2 and evaluate the performance of our solution both in simulations and on actual Arabidopsis thaliana data in Section 3. Let n be the number of SNPs and m the number of individuals.
Tests have been performed both in simulations and in a real Lego robot.
The various design strategies are discussed and compared both in simulations and experiments.
We evaluate our approach in extensive experiments carried out both in simulations and with real robots.
Finally, the developed predictive current control algorithms were tested both in simulations and experimentally, and illustrative results are presented here.
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We do research in natural legged creatures and then model them both in simulation and in real robots.
The entire system is integrated and implemented both in simulation and in an experimental testbed.
The proposed study has been validated both in simulation and in experimentation.
The system was evaluated both in simulation and on a real robot.
We implemented and thoroughly tested our system both in simulation and on a real mobile robot.
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