Your English writing platform
Discover LudwigSuggestions(1)
Exact(60)
*** target pattern contains no '%'.
Here, we used typical immune activators that target pattern recognition receptors (PRRs).
General inverse methods are applied to obtain the actuator weightings for achieving the target pattern.
This architecture is reconfigurable for any target pattern and any error tolerance.
Individual differences in performance were examined at the participant level and the target pattern level.
Approximate pattern matching is comparing an input pattern with a target pattern with a specified error tolerance.
The target pattern, represented by non-uniform rational B-spline (NURBS), is embedded into the gene regulatory model, analogous to the morphogen gradients in multi-cellular development.
It is shown that the light pattern formed on the measuring plane is in good agreement with the target pattern specified by ECE R112.
Advantages of our approach include better performance, minimal prior knowledge for the target pattern, and easy implementation and portability as a modularized software component.
Since the total number of robots is unknown to each robot, a dynamic neighborhood adaptation mechanism is proposed to evenly deploy the robots on the boundary of the target pattern.
We present an algorithm that correctly infers the target pattern up to 50 times as often as a previously employed method and promises sufficient power and robustness for interface control.
Write better and faster with AI suggestions while staying true to your unique style.
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