Sentence examples for rigorous tool from inspiring English sources

"rigorous tool" is a correct and usable phrase in written English.
It can be used to describe a tool or method that is very thorough, precise, and exacting in its approach. It is often used in academic or professional contexts to describe a tool that is highly effective and reliable in achieving a specific goal. Example: The statistical analysis software proved to be a rigorous tool for analyzing the large dataset, providing precise results with minimal margin of error.

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I feel it strengthens the belief in the church as having a vital function -- by penetrating the ground, by turning it into a rigorous tool.

CAS are complex in nature and requires rigorous tool support.

Two case studies are presented to demonstrate the usefulness of the new methodology as a rigorous tool for the optimization of membrane permeation processes.

Bayesian network is a rigorous tool for measuring risks under uncertainty, representing dependency between causes and effects, and making special types of reasoning.

The double-blind, placebo-controlled food challenge is a rigorous tool that has become popular for evaluating adverse reactions to foods.

It is concluded in this preliminary account that KAP provides a simple yet rigorous tool for studying a whole range of both gross and subtle molecular packing effects in the solid-state.

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By 1635 the Italian mathematician Bonaventura Cavalieri had supplemented the rigorous tools of Greek geometry with heuristic methods that used the idea of infinitely small segments of lines, areas, and volumes.

Due to a complex nature of CASs, it is required to analyse it through rigorous tools.

Researchers have long wanted to study the evolution of music with the same rigorous tools that biologists use to study the evolution of species.

Because of the complex nature of the CAS, it requires rigorous tools which are complex themselves to create and understand such systems.

The theory provides rigorous tools of scrutiny that deal with fundamental issues of AI such as the diversity and embodiment of artificial perceptions.

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