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您现在的位置: > 大学英语六级 > fine-grained

fine-grained

fine-grained的音标为[faɪnɪˈɡreɪn] ,基本翻译为“精细的,微细的”。速记技巧可以尝试使用谐音记忆法,将其记作“费根肉泥”,这样便于联想记忆。

Fine-grained这个词的英文词源可以追溯到拉丁语“finis”和“granum”,意为精细的颗粒。这个词在英语中通常用来描述某种物质或过程具有精细的颗粒或细节。

变化形式:通常以-grained或-grainedly的形式变化,其中-grain表示颗粒或质地。

相关单词:

1. Fine-grained:精细的,微细的,颗粒细小的。例如,“fine-grained sand”(细沙)和“fine-grained detail”(精细的细节)。

2. Coarse-grained:粗糙的,颗粒粗大的。例如,“coarse-grained texture”(粗糙的质地)和“coarse-grained behavior”(粗糙的行为)。

3. Granular:颗粒状的,粒状的。例如,“granular sand”(颗粒状的沙子)和“granular matter”(颗粒状物质)。

4. Grainy:有颗粒感的,粗糙的。例如,“grainy photo”(有颗粒感的照片)和“grainy sound”(粗糙的声音)。

举例来说,在计算机科学中,fine-grained可以被用来描述一种算法或系统具有精细的粒度,这意味着它可以对不同的任务或资源进行更精确的控制和管理。与此相反,coarse-grained则可能意味着系统或算法具有粗粒度,这意味着它可能无法对不同的任务或资源进行精确的控制和管理。此外,granular和grainy也可以用来描述某种物质或图像具有精细的颗粒感或粗糙感。

总的来说,fine-grained这个词在英语中具有丰富的含义和用法,它不仅描述了物质或过程的细节,还反映了人们对不同粒度或精细度的理解和应用。

常用短语:

1. fine-grained detail

2. fine-grained analysis

3. fine-grained granularity

4. fine-grained processing

5. fine-grained classification

6. fine-grained data

7. fine-grained knowledge

双语例句:

1. The data is fine-grained, allowing for detailed analysis.

2. The classification of the data is fine-grained, making it difficult to identify patterns.

3. Fine-grained processing is necessary for optimizing the performance of the system.

4. The knowledge gained from fine-grained data analysis is invaluable.

5. The granularity of the data is too fine to be processed efficiently.

6. The knowledge of fine-grained detail is essential for effective decision-making.

7. The company"s data is highly fine-grained, making it difficult to manage efficiently.

英文小作文:

Fine-grained data analysis is becoming increasingly important in many fields, including business, science, and technology. This type of analysis involves examining very small units of data, such as individual transactions or measurements, to gain a deeper understanding of the system or process under investigation.

By analyzing fine-grained data, companies can gain insights into their operations that would otherwise be difficult to identify at a larger scale. This can help them improve their processes, identify bottlenecks, and make more informed decisions about their business operations.

In science and technology, fine-grained analysis can lead to more precise predictions and simulations of complex systems, such as climate change or machine learning models. It can also help researchers identify subtle patterns and trends that might otherwise be overlooked at a larger scale.

Overall, fine-grained data analysis is becoming an essential tool in many fields, as it allows for a more detailed and nuanced understanding of systems and processes. It has the potential to revolutionize many areas of research and practice, and it is exciting to see how this type of analysis will continue to evolve and expand in the future.

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