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In response to this shortcoming, we propose a method to estimate the posture of the human limb attached to the exoskeleton.
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To address these shortcomings, we propose a method that determines the accurate position of the nucleosomes independently from the amount of overlaps in the nucleosomes.
In order to avoid this shortcoming, we propose a new method that profits from teaching learning algorithm (TLA) to improve local search near the global best and a series of modifications is purposed to the assimilation policy rule of ICA in order to further enhance algorithm's rate of convergence for achieving a better solution quality.
In order to overcome this shortcoming, we propose a nonlinear decoding model, the particle filter model.
In order to overcome this shortcoming, we propose an incremental evolution method for neural networks based on cellular automata and a method of combining several evolved modules by a rule-based approach.
To address this shortcoming, we propose an integrated approach.
In order to overcome these shortcomings, we propose a paired-samples testing algorithm, a parsimonious jackknife-like method.
To overcome these shortcomings we propose a dynamic ideal DMU using dynamic DEA and scenario-based model of robust.
In order to overcome these shortcomings, we propose an automatic clustering algorithm, fast black hole spectral clustering (FBH SC).
In order to overcome these shortcomings, we propose an information-theoretic based measure to score protein-protein relationships in functional interaction networks predicted from homology data.
Here, we propose a novel method for aligning biological sequences that can effectively address the aforementioned shortcomings of pair-HMMs.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com