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Both models are able to compensate for all operational emissions.
We conclude that mathematical models are able to provide useful recommendations for managing HLB spread.
First, climate models are able to simulate climate changes over the history of human civilization fairly accurately.
The results show that the four AI models are able to improve the DRASTIC method.
The presented models are able to follow the nonlinearities that appear in the corresponding physical models.
The models are able to identify the worst conditions for THM formation.
Overall the FE models are able to accurately predict the bonded, bolted and hybrid joint strengths.
The models are able to alleviate those relationships that result in shortcomings of performance.
These studies demonstrates that state- of-the-art RNN models are able to learn and generalize about empty syntactic positions.
The improved constitutive models are able to predict the performance of concrete with low amounts of rubber.
As for the achieved results, the developed models are able to catch the behaviour of the experimental data.
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