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SSO poses a significant threat, not only to the safety of the electrical equipment but also to the stability of the power system, which can cause severe damage to WTGs4, lead to numerous WTGs tripping5, and even cause a major power outage6. Accurate online monitoring of SSO is of great...
If you are considering water damage restoration, you need to be aware that your homeowner’s insurance policy may not cover your costs. Most homeowner’s insurance policies do not cover water damage, and many do not include coverage for water damage restoration. You can often purchase an addend...
The optimal estimator is: (15)Here yt, yp, and represents annual return period curves for ground truth, the mean of the stochastic injections (the prior), and bias-corrected (the posterior) rainfall, respectively. Again, reduced-rank square-root methods are helpful for highly resolved (and,...
Base damage rating now factors in your ability score modifier, which makes it a much better estimator of a weapon's relative effectiveness. Weapons no longer show dice estimations for their base and critical rolls, instead displaying a simplified view so that it's easier to understand what numbe...
Paintless Dent Removal (PDR), removes dents and dings, does not require a vehicle owner to purchase new panels or replacement paint, it’s the affordable option to hail damage, parking lot dents from a shopping cart and the like. A fraction of auto body repair prices upfront, protecting yo...
A robust Huber-White ‘sandwich’ covariance estimator (Huber 1967) was applied using the R function robcov to correct for auto-correlation because of clustered samples (Harrell 2006), with clusters defined as in the GEE above. Explanatory variables were input as above and Wald χ² tests ...
(i) the transient performance is affected by unknown disturbances and arbitrary plug loads, load extraction, and distributed generation in both the AC and DC systems; (ii) the inevitable circulating current in the parallel structure reduces the rated transmission power and may damage the switching ...
In one example embodiment, a pre-trained cost-sensitive auto-encoder can be used in combination with a training (fine-tuning) stage for cost-sensitive deep learning. Thus, cost information is effectively combined with deep learning by modifying the objective function in the pre-training phase. ...