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The differences between these bioclimatic models are as follows: The sequential model emphasizes that forcing temperature is effective only after chilling requirements are met, presenting a sequential order.
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We present a sequential method for approximating an unknown function sequentially using random noisy samples.
We present a sequential aggregate signature scheme based on trapdoor permutations (e.g., RSA).
This paper presents a sequential review of all steps for CFD simulations of photocatalytic reactors.
This paper presents a sequential optimization procedure and a performance prediction of an Oscillating Water Column (OWC).
This paper presents a sequential estimation procedure for the unknown parameters of a continuous-time stochastic linear regression process.
In this paper, we present a sequential method that can adaptively determine both sample size and model structure.
We present a sequential approach to detect static targets with imperfect sensors, which range from tower-mounted cameras to satellites.
This paper presents a sequential dynamic optimization methodology applicable to solve the optimal control problem of complex highly nonlinear processes.
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental design applied to generalised non-linear models for discrete data.
In this work was presented a sequential strategy to optimize and scale-up the production of ethanol by solid-state saccharification and fermentation using rice bran as substrate.
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