The phrase "associated machine" is correct and usable in written English.
It can be used when referring to a machine that is linked or related to another entity, such as a process, system, or device.
Example: "The software is designed to work seamlessly with the associated machine to enhance productivity."
Alternatives: "related machine" or "connected machine".
The concept of grouping is also adopted by IEEE 802.11ah [1] to simplify operation with a huge number of associated machine devices.
Both companies reported heavily investing in Cloud centric technologies and associated machine intelligence and analytics as future big bets that have nascent road maps so far.
The widely used Hadoop MapReduce architecture and associated machine learning library, Mahout, provide the means for tackling computationally challenging tasks.
We therefore utilise the recently developed Spark engine, along with its associated machine learning library, MLlib, which offers more flexibility in the parallelisation of population-scale bioinformatics tasks.
It consist of grouping parts with similar design features or processing requirements into part families and associated machines into machine cells.
Following a brief review on composites development and associated machining, the paper outlines experimental results when twist drilling 1.5 mm diameter holes in 3 mm thick CFRP laminate using tungsten carbide (WC) stepped drills.
Using this interface, the observer is capable of learning to associate machine actions and states, allowing it to make judgments on, and predictions of, behavior.
Length of time since machine calibration was also associated with machine inaccuracy at 3 MHz (p < 0.05).
The estimated monthly capacity factor values are multiplied by measured monthly machine availability and monthly grid availability given in Table 5 for adjusting the losses associated with machine non-availability and grid non-availability.
While research associated with machine learning algorithms is well established, research on big data analytics and large scale distributed machine learning is very much in its infancy with libraries such as Mahout still undergoing considerable development.
With this robotic approach, it is possible to test trajectories with different velocities and orientations and to simulate several risky situations associated with machine use.
