"utilize logic" is grammatically correct and can be used in written English.
It means to apply or make use of logical reasoning or thinking in a specific situation. It can be used in various contexts, such as when discussing problem-solving techniques, decision-making processes, or critical thinking skills. Example: In order to solve this complex math problem, we must utilize logic and break it down into smaller, more manageable steps.
The differences between these Madhyamaka subschools, therefore, occur with respect to the ways in which they understand the conventional truth, and utilize logic and reasoning.
Computational intelligence models [12] utilize logic tree [13], [14], neural networks [15], an ensemble learning approach [15] or evolutionary algorithms [16] to discover correlations between SNPs and hereditary disorders and provide potential biological insight for the observed correlation and/or causation.
Field utilizes Logic Pro and MIDI for his musical composition; after this process he delivers these files along with an MP3 to the individual in charge of orchestration, who uses Finale software to convert this to musical notation.
For the same purpose, Zhu et al. [16] propose to utilize multiple logic paths.
We utilize fuzzy logic and a combination of thermal, magnetic, optical, and chemical nanosensors to interpret the uncertainty associated with the sensory information.
This led to the creation of Neuro-Fuzzy systems which utilize fuzzy logic to construct a complex model by extending the capabilities of Artificial Neural Networks.
A computer scientist might seek to utilize this logic when training data mining and machine learning algorithms to find these features in the review that will determine if it is real or fake.
For Multiple Reaction Monitoring (MRM) measurements, the issues are somewhat different and provide the opportunity to utilize the logic of [statistical] variance components analysis to distinguish among sources of variability that can impair both reliability and reproducibility.
Each term in the ontology has a unique ID, allowing other resources to link to and utilize the logic of the ontology for their own data.
In this study, we utilize Bayesian logic to first determine true physical binding events of budding yeast TFs and subsequently separate functional from NFB events based on respective expression data.
By utilizing reversible logic circuits and implementation with adiabatic logic, power efficiency is achieved.
