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In the modelling, modifications have been made to the grounded cylindrical collector of electrostatic precipitation through a re-design to include a series of inclined baffle plates for improving the particulates' collection efficiency.
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Our method distinguishes itself from others by modeling modifications at the PTM level instead of at the individual peptide level.
Model description and documentation of model modifications are presented for SPUR 2000.
Here we show that spatiotemporal CNNs accurately categorize video stimuli into action classes, and that deliberate model modifications that improve performance on an invariant action recognition task lead to data representations that better match human neural recordings.
Competing latent variable models were identified in previous studies and a priori model modifications were made to test derivations of the nine base models.
Model responses to various loading conditions, including drained and undrained monotonic and cyclic loading, are used to illustrate the efficacy of the model modifications.
Compared with conventional methods without model modifications, the new approach has achieved significant improvement in control performance and robustness with dramatically reduced number of local models.
Compared with conventional methods without model modifications, the new approach has achieved significant improvement in control performance and robustness with a dramatically reduced number of local models.
Understandability is a key factor in determining maintainability as model modifications must be preceded by a thorough understanding of the model.
Model modifications to allow for non-uniform fixed-bed structures and an optimisation strategy for varying process parameters over the course of the cycle are discussed.
In light of the proposed FIS model, modifications to the shear-compression resistance provided by the considered design guidelines are recommended.
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