Therefore, we aimed to define the best strategies for building training sets to apply genomic selection in soybean segregating populations for traits with different genetic architectures. For that, we used two
Online genetic-algorithm-based model predictive control framework for multi-zone buildings 2021 European Control Conference (ECC) (2021), pp. 1011-1017, 10.23919/ECC54610.2021.9654929 View in ScopusGoogle Scholar [46] T.X. Nghiem, C.N. Jones Data-driven demand response modeling and control of ...
thereby constructing protein architectures with minimal design. We believe that cysteine (Cys)-mediated disulfide bonds fit this approach well because (1) they are strong and reversible, and such properties can minimize the surface area to be designed, while keeping them chemically tunable; and...
such as PI controller, inverse linear quadratic ILQ [1], neuro-fuzzy methodologies [2,3], adaptive control [4], andH∞[5,6]. However, sufficient performance has not been achieved due to the following: the model is approximately linearized around the reference point; the controller ignores th...
There have been a lot of attempt of applying artificial neutral network in nuclear industry [14], for instance, Tian proposes a constraint-based genetic algorithm (GA) to find optimized 2-hidden layer network architectures for detecting LOCA of a NPP [15]. The combination of Bayesian regularizat...
In contrast, iCCA located in the periphery of the hepatic parenchyma commonly exhibits tubular or acinar architectures with low colum- nar to cuboidal cells, organized in a small-duct pattern associated with a desmoplastic stroma. The small duct type of iCCA includes two adicional distinct subgroups...
Differential distribution of these variants in different ethnic groups suggests that certain drugs might be more effective in selective populations rather than all. Therefore, population specific genetic architectures should be considered before considering a drug for these conditions....
All neural network architectures were implemented by using CUDA 8.0 and PyTorch libraries and trained on three machines equipped with the Nvidia GTX-1080ti graphics card. The results indicate that the model with the side-scheme achieved the best F-score and precision, while the model with the ...
Multiplexed imaging of nucleome architectures in single cells of mammalian tissue Article Open access 09 June 2020 Introduction The dynamic yet functionally stable organization of cellular processes is a crucial feature of biological systems. Their dynamic nature is indispensable as it enables biological...
However, there are various challenges in imple- menting this method, which can be addressed by using Genetic Algorithm (GA) for feature selection. The simulations in this study aim to evaluate the convergence rate and estimation error of the filter. The results show that...