Sentence examples for machine complexity from inspiring English sources

Perceived restrictions, such as low speed and machine complexity of the technologies, are ignored or omitted by most traditional predictive maintenance programs.

The MGM is a novel technique based on the complexity control, which defines the learning as a bi-objective problem in such a way to find the best trade-off between the empirical risk and the machine complexity.

As the operation of a modern mobile machine is affected by various parameters, they need to be tuned to reach an optimal performance – however, due to machine complexity, parameter optimisation is difficult for a typical operator.

Experimental results confirm that the novel method improves over conventional approaches, especially in the trade-off between classification accuracy and machine complexity (i.e., the dimensionality of the remapped space).

The cryptographic software we have today hobbles those who try to use it with Rube Goldberg-machine complexity and academic language as dated as a pair of Jordache jeans.

He was struck by the machines' complexity, weight, and cost, but he also realized that the lever machines represented a big step forward in a long process.

For such high quality surface in a UPM process, due to the machining complexity any variable would be possible to deteriorate surface quality, consequently receiving much attention and interest.

Their design has a significant impact on the machine layout, complexity, and performance.

We will cover basic concepts in theoretical computer science, in the form of Turing machines and complexity analysis, before comparing these foundations to practical matters and reflecting on the identity and implementation of algorithms.

Despite the significance of protein architecture to macromolecular machines, the inherent complexity of such machines presents a significant hurdle.

The plan provides opportunities for study in software systems, algorithms and complexity, machine architecture, computer graphics, programming languages, machine learning, and other core areas of computer science.